Applied Ai Jobs

CelonisHQI 89

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly, generates strong ROI through deep and broad deployments. The Role: As an AI Applied Value Architect, you will spearhead AI and data-driven business transformation supporting customers in North America, by contributing to your customer’s end-to-end value journey using the Celonis Context Model. Working alongside Lead and Principal VEs, you will combine technical execution with consulting and project management. As an AI-fluent operator, your core mandate is to orchestrate complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their Order-to-Cash (O2C), Procure-to-Pay (P2P), Inventory Management, and Supply Chain ecosystems. The work you’ll do: Value Selling & Realization: Uncover the real issues by peeling back layers of organizational complexity. Own the Outcome from first discovery through realized ROI for your process areas. Tell the Value Story by crafting powerful executive narratives and leading business value workshops. Stakeholder Management: Cultivate powerful executive sponsorship across core business units to champion transformation programs. Co-own change management with customer leaders and design CoE roadmaps that build self-sufficiency. Program Management: Steer Global Transformations across complex workstreams. Own and implement AI-driven account planning and AI-assisted project management. Automate executive governance (QBRs, SteerCos) with minimal manual friction. Platform & AI Fluency: Act as an AI-fluent operator, utilizing AI tools for rapid technical outputs while partnering with Applied Value Engineers for deep-dive solution builds. Champion platform adoption. Scale Value & Innovation: Build a strategic expansion roadmap embedding Celonis as a strategic platform to drive adoption. Provide feedback to R&D based on evolving customer use cases. The qualifications you need: Experience: 3-5 years of experience taking ownership of complex workstreams, process areas, and customer relationships in Value Engineering, Consulting, or Pre-Sales. AI & Technical & Fluency: Solid background in enterprise IT and business software (e.g., SAP, Workday, Salesforce, Oracle). You operate primarily as an AI-fluent operator, utilizing AI copilots to generate outputs and automations, avoiding heavy manual coding. Builder Mentality: Comfortable setting your own direction within an account team. Driven to live for customer value , proactively hunting and ideating for highest-impact solutions. Process Improvement & Value Realization: Proven expertise in executing process improvements. Strategic Program & Stakeholder Management: Demonstrated expertise orchestrating multi-region or business unit transformation programs. Expert at mobilizing VP/Director-level sponsorship. Flawless English communication with commanding executive presence. Domain & Industry: Deep understanding of the Finance/Supply Chain domains. You stay continuously updated on business-critical use cases. Degree: Engineering, Computer Science, Mathematics, Business Analytics, comparable technical degree or a Business/Economics degree paired with a technical minor Travel Requirement: Frequent US travel is required. Candidates must be eligible for TN status under CUSMA. Continued employment is contingent upon successfully obtaining and maintaining valid TN status. Candidates must be currently legally authorized to work in Canada on a full-time basis. Must be legally eligible to work in Canada without requiring company sponsorship, LMIA support, or employer-assisted work permits. Celonis is committed to providing an accessible and inclusive candidate experience. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation at any point during your application or interview process, please contact accessiblity@celonis.com. Visa sponsorship is not offered for this role. The base salary range below is for the role in the specified location, based on a Full Time Schedule. The total compensation package includes base salary, [bonus / commission], equity, and a comprehensive benefits package (health, dental, life insurance, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below for this full-time, Remote, Toronto-based position is $132,000 — $151,000 CAD What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

openaiHQI 83

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

PineconeHQI 93

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. About the Team and Role We're looking for an Applied AI Engineer who loves building real applications with AI. You'll work across the stack, from backend services and retrieval pipelines to APIs and user-facing applications, turning new AI capabilities into working solutions. This is a hands-on engineering role for someone who enjoys moving quickly, experimenting with emerging technologies, and owning projects from initial idea to production. You'll work closely with our engineering and product teams, as well as customers and partners, to explore new use cases, build reference applications, and demonstrate what's possible with Pinecone's technology. The ideal candidate combines strong full-stack engineering skills with practical experience building LLM-powered applications and agentic systems. You should be equally comfortable discussing architecture, writing production code, and putting together a working prototype. Responsibilities • Design, build, and ship end-to-end AI applications using Pinecone’s retrieval and knowledge infrastructure. • Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration. • Build reference applications, integrations, and reusable components that help developers and customers adopt Pinecone. • Experiment with emerging AI patterns, including RAG, agents, tool use, context engineering, and agent memory. • Work with customers, partners, and internal teams to understand real-world problems and translate them into working software. • Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications. • Share technical insights and best practices through code, examples, and technical content. • Bring learnings from building applications back into Pinecone’s product and engineering teams. What You’ll Bring to the Table You don't need to check every box, but you should enjoy building software and be excited about what AI makes possible. Full-Stack Engineering • Strong software engineering background with experience designing, building, and shipping production applications. • Proficiency in Python and/or TypeScript, including modern backend frameworks and frontend technologies such as React or Next.js. • Experience building APIs, integrating external services, and working with databases and cloud infrastructure. • Ability to independently take a project from rough requirements through implementation and deployment. Applied AI • Hands-on experience building applications using LLMs, embeddings, vector databases, or retrieval-augmented generation. • Familiarity with modern AI development tools, frameworks, and APIs. • Understanding of the practical challenges of building AI applications, including retrieval quality, evaluation, latency, reliability, and cost. • Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows. Ownership & Collaboration • A builder's mindset: you enjoy writing code, experimenting, and getting working software into users’ hands. • Comfortable working with ambiguous requirements and making pragmatic technical decisions. • Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders. • Comfortable moving between rapid prototypes and production-quality implementations. • Interest in understanding how developers and customers use the technology and translating that feedback into better solutions. Bonus Points • Experience with Pinecone or other vector databases and search technologies. • Experience building agentic applications, agent memory systems, or complex RAG pipelines. • Contributions to open-source projects, developer tools, or technical communities. • Experience working directly with customers on technical projects. • Experience deploying and operating AI applications in production. Perks & Benefits • Comprehensive health coverage including medical, dental, vision, and mental health resources • 401(k) Plan • Equity award • Flexible time off • Paid parental leave • Annual Company Retreat • WFH Equipment Stipend Benefits and eligibility may vary by country of employment.

openaiHQI 86

The Cyber Applied AI Architect Manager leads a team of customer-facing architects who partner with customers throughout the full lifecycle—from technical discovery and architecture design through implementation, deployment, and adoption. As a hands-on people leader, you’ll hire, coach, and develop the team while helping shape its technical approach and customer engagement model. You and your team will work closely with Sales and Solutions Engineering to understand customer security priorities and design AI-enabled solutions using OpenAI models, APIs, Codex, and agentic workflows. After a customer commits, your team will remain engaged to translate the proposed solution into a production-ready implementation. You’ll provide architectural guidance, support complex technical decisions and escalations, and ensure consistent delivery across customer engagements. The work spans security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation. In this role, you will: - Hire, coach, and develop a team of Cyber Applied AI Architects, setting clear expectations for technical excellence, customer impact, and career growth. - Establish team priorities, allocate resources, and balance pre-sales engagements with post-sales implementation and adoption. - Lead technical discovery with security executives, practitioners, architects, and engineering teams. - Partner with Sales and Solutions Engineering on AI solution design, demonstrations, workshops, technical validation, and proofs of concept. - Guide your team in translating customer requirements into clear solution architectures, implementation plans, success criteria, and technical milestones. - Oversee solutions from pre-sales architecture and prototyping through production deployment and adoption. - Serve as a senior technical partner for strategic customers, coordinating stakeholders and internal Product, Engineering, Security, and GTM teams. - Remain hands-on in designing, building, and troubleshooting complex integrations involving OpenAI models and APIs, Codex, agents, security tools, cloud platforms, and enterprise workflows. - Set standards for architectural reviews, evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes. - Identify technical risks, resolve escalations, and turn customer feedback into actionable product and engineering priorities. - Measure team performance, customer adoption, and business impact, ensuring AI-enabled solutions deliver meaningful security outcomes. - Build reusable reference architectures, playbooks, demonstrations, and best practices that help the team scale. You might thrive in this role if you: - Have experience hiring, managing, and developing customer-facing technical teams across solutions architecture, engineering, implementation, or professional services. - Bring experience spanning both pre-sales technical engagement and post-sales delivery, with ownership of customer outcomes. - Have hands-on cybersecurity expertise across areas such as AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, or security architecture. - Can coach architects, lead executive-level technical conversations, and remain comfortable designing, building, and troubleshooting solutions. - Have experience applying AI models, APIs, or agentic patterns to practical workflows and guiding pilots into production. - Can prioritize across customer engagements, manage technical escalations, and communicate architectural decisions and tradeoffs clearly. - Enjoy building teams and operating models in ambiguous environments while taking ownership of measurable customer adoption and impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

CelonisHQI 89

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team As an Intern in Applied AI Solution Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. VEs don't just understand code; they understand the entire architecture of a deal. By bridging the gap between deep technical capability, customer pain points, and revenue mechanics, it stands out as one of the most high-impact roles in tech. The Role As a VE Working Student, you will sit at the intersection of data engineering, process intelligence, and business strategy. You won't just support the team; you will actively build data-driven solutions within the Celonis Process Intelligence Platform to uncover hidden inefficiencies for companies across the Italian market. This is a highly analytical role where you will translate complex business challenges into technical requirements, using SQL/PQL, data modeling, and AI capabilities to transform raw data into million-dollar business cases The work you’ll do Mine & Model Data: Use the Celonis platform to analyze complex business processes, exposing hidden inefficiencies and engineering absolute operational transparency. Architect Use Cases: Translate high-level customer business challenges into rigorous technical requirements, building actionable, data-driven use cases within the Process Intelligence Platform. Deploy Advanced Analytics: Leverage Celonis data modeling, SQL/PQL, and native AI capabilities to generate deep insights and optimize enterprise-scale operations. Align AI & Tech Strategy: Evaluate and integrate Celonis solutions and AI features to map directly into a customer’s broader enterprise technology roadmap. Quantify Financial ROI: Transform raw data findings into hard financial metrics, building management-ready presentations that prove the exact operational value of implemented solutions. Pitch to Stakeholders: Partner with cross-functional project teams to deliver technical findings and strategic, data-backed recommendations straight to customer decision-makers. Bridge Tech & Business: Act as the ultimate product and analytical expert, translating complex data-driven solutions into clear corporate value. The qualifications you need Student of Business Analytics / Industrial Engineering / Business Informatics / Technology & Management / Economics / Mathematics or of a comparable program Strong communication skills and interest in interacting with potential customers Experience in consulting and highly interested in Data Analytics Knowledge in SQL and Python or related database query languages (completion of Celonis "Rising Star" modules would be a plus) Confidence to present to senior stakeholders and larger audiences Passionate about data, OpenAI and LLMs and the impact it can have on the world Analytical mindset and the ability to multi-task, prioritize and execute Fluent in English and Italian to effectively support our Italian business development and stakeholders. Availability for 6 months as a full-time intern. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

RubrikHQI 89

About the Role We are looking for a Senior Applied AI Engineer to join Rubrik's Applied AI team, building production-grade, full-stack applications and APIs for our internal Business teams while embedding AI-agentified capabilities into these internal platforms. This is a hands-on build role: you will own features end to end — from database schema through backend services and distributed systems to the user interface — and bring practical, hands-on experience building or integrating AI agents, tool-calling workflows, or LLM-powered features into production systems that our business stakeholders rely on. The ideal candidate combines strong full-stack engineering fundamentals with a systems mindset for reliability and scale, and has spent meaningful hands-on time (1–2 years) building AI-agentified applications — not just experimenting with AI tools, but shipping agentic features in production. We are targeting 8+ years of overall software engineering experience; this is flexible for candidates who demonstrate strong depth across full-stack, distributed systems, and applied AI during technical evaluation. Key Responsibilities Own features end to end — database schema, backend services, APIs, and frontend (React/Next.js) user interface — operating as an owner rather than a ticket-taker. Build full-stack web applications: responsive, production-grade frontends using React/Next.js, backed by well-designed REST APIs and backend services. Design and build APIs and services that are consumed by applications, internal tools, and AI agents/LLMs, including tool-calling interfaces.. Build and productionize AI-agentified features — agentic workflows, LLM-powered automation, and AI-assisted tooling — grounded in 1–2 years of hands-on experience with these systems. Architect for distributed systems concerns: scalability, fault tolerance, data consistency, and service boundaries across backend and data layers. Apply reliability engineering practices — observability (logging, metrics, tracing), SLAs/SLOs, incident response, and post-incident reviews — to keep production systems healthy. Design and optimize relational database schemas, including joins, indexing, and query performance tuning. Build clean, well-tested, production-grade frontend and backend code that others can read, test, and extend. Clarify requirements upfront, surface blockers early, and communicate progress proactively without being asked. Collaborate openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams; avoid working in silos. Required Qualifications Education & Experience Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. 8+ years of hands-on software engineering experience across full-stack development (flexible based on demonstrated strength in technical evaluation). 1–2 years of hands-on experience building, integrating, or operating AI-agentified applications (agentic workflows, tool-calling, RAG, or LLM-powered features) in production.. Demonstrated experience owning systems designed for scale and reliability, not just feature delivery. Technical Skills — Applied AI 1–2 years of hands-on experience building AI-agentified applications, including agent frameworks (e.g., LangChain, LangGraph, ADK, or equivalent), tool/function-calling for LLMs. Practical understanding of AI-specific considerations: latency, cost, rate limiting, and safety/guardrails when exposing systems for AI consumption. Experience with AI-assisted development tools (e.g., Claude Code or similar). Technical Skills — Full Stack Frontend: Strong JavaScript fundamentals; hands-on experience with React and Next.js for building modern, production-grade web applications (hooks, state management, component architecture, routing/SSR). Backend: Proficient in Python, writing production-grade code; hands-on experience with FastAPI or Flask (or equivalent frameworks) for building REST APIs. Database: Experience with relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB or equivalent); solid understanding of schema design, joins, indexing, and query optimization. Technical Skills — Distributed Systems & Reliability Working knowledge of distributed systems concepts: service decomposition, consistency models, caching, queuing/messaging, and failure handling. Reliability engineering fundamentals: observability (logging, metrics, tracing), SLAs/SLOs, error budgets, and operational runbooks. Ability to reason about system design trade-offs and build scalable, resilient solutions under ambiguity. Soft Skills Proactive communication — shares updates without being asked and flags blockers early. Asks the right questions — clarifies requirements upfront before jumping into implementation. Ownership mindset — treats the project as their own rather than just completing tickets. Transparency — speaks up when something is unclear instead of making assumptions. Strong analytical mindset to break down complex or ambiguous problems. Preferred Qualifications Experience with agentic frameworks (ADK, LangGraph, or similar) beyond individual projects — production deployment experience preferred. Familiarity with API documentation standards (Swagger/OpenAPI). Basic DevOps awareness (Docker, CI/CD) and Git/version-control best practices. Testing experience across unit and integration levels. Experience with modern web app tooling — component libraries (e.g., Tailwind, MUI) and state management (e.g., Redux, Zustand). Exposure to cloud-native development (AWS, Azure, or GCP), including containers and infrastructure as code. Join Us in Securing and Accelerating the World's AI Transformation Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Rubrik.com Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law. Rubrik provides equal employment opportunities to employees and applicants in all terms and conditions of employment, including recruiting, hiring, promotion, compensation, training, leave, and termination. Rubrik provides reasonable accommodations to qualified applicants and employees with disabilities in accordance with applicable law. If you need an accommodation to participate in the application process or to perform your job, please contact hr@rubrik.com . Accommodations may include changes to the application process, documents in an alternate format, a sign language interpreter, or specialized equipment. EEO IS THE LAW NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS

Rubrik Job BoardHQI 82

About the Role We are looking for a Senior Applied AI Engineer to join Rubrik's Applied AI team, building production-grade, full-stack applications and APIs for our internal Business teams while embedding AI-agentified capabilities into these internal platforms. This is a hands-on build role: you will own features end to end — from database schema through backend services and distributed systems to the user interface — and bring practical, hands-on experience building or integrating AI agents, tool-calling workflows, or LLM-powered features into production systems that our business stakeholders rely on. The ideal candidate combines strong full-stack engineering fundamentals with a systems mindset for reliability and scale, and has spent meaningful hands-on time (1–2 years) building AI-agentified applications — not just experimenting with AI tools, but shipping agentic features in production. We are targeting 8+ years of overall software engineering experience; this is flexible for candidates who demonstrate strong depth across full-stack, distributed systems, and applied AI during technical evaluation. Key Responsibilities • Own features end to end — database schema, backend services, APIs, and frontend (React/Next.js) user interface — operating as an owner rather than a ticket-taker. • Build full-stack web applications: responsive, production-grade frontends using React/Next.js, backed by well-designed REST APIs and backend services. • Design and build APIs and services that are consumed by applications, internal tools, and AI agents/LLMs, including tool-calling interfaces.. • Build and productionize AI-agentified features — agentic workflows, LLM-powered automation, and AI-assisted tooling — grounded in 1–2 years of hands-on experience with these systems. • Architect for distributed systems concerns: scalability, fault tolerance, data consistency, and service boundaries across backend and data layers. • Apply reliability engineering practices — observability (logging, metrics, tracing), SLAs/SLOs, incident response, and post-incident reviews — to keep production systems healthy. • Design and optimize relational database schemas, including joins, indexing, and query performance tuning. • Build clean, well-tested, production-grade frontend and backend code that others can read, test, and extend. • Clarify requirements upfront, surface blockers early, and communicate progress proactively without being asked. • Collaborate openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams; avoid working in silos. Required Qualifications Education & Experience • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. • 8+ years of hands-on software engineering experience across full-stack development (flexible based on demonstrated strength in technical evaluation). • 1–2 years of hands-on experience building, integrating, or operating AI-agentified applications (agentic workflows, tool-calling, RAG, or LLM-powered features) in production.. • Demonstrated experience owning systems designed for scale and reliability, not just feature delivery. Technical Skills — Applied AI • 1–2 years of hands-on experience building AI-agentified applications, including agent frameworks (e.g., LangChain, LangGraph, ADK, or equivalent), tool/function-calling for LLMs. • Practical understanding of AI-specific considerations: latency, cost, rate limiting, and safety/guardrails when exposing systems for AI consumption. • Experience with AI-assisted development tools (e.g., Claude Code or similar). Technical Skills — Full Stack • Frontend: Strong JavaScript fundamentals; hands-on experience with React and Next.js for building modern, production-grade web applications (hooks, state management, component architecture, routing/SSR). • Backend: Proficient in Python, writing production-grade code; hands-on experience with FastAPI or Flask (or equivalent frameworks) for building REST APIs. • Database: Experience with relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB or equivalent); solid understanding of schema design, joins, indexing, and query optimization. Technical Skills — Distributed Systems & Reliability • Working knowledge of distributed systems concepts: service decomposition, consistency models, caching, queuing/messaging, and failure handling. • Reliability engineering fundamentals: observability (logging, metrics, tracing), SLAs/SLOs, error budgets, and operational runbooks. • Ability to reason about system design trade-offs and build scalable, resilient solutions under ambiguity. Soft Skills • Proactive communication — shares updates without being asked and flags blockers early. • Asks the right questions — clarifies requirements upfront before jumping into implementation. • Ownership mindset — treats the project as their own rather than just completing tickets. • Transparency — speaks up when something is unclear instead of making assumptions. • Strong analytical mindset to break down complex or ambiguous problems. Preferred Qualifications • Experience with agentic frameworks (ADK, LangGraph, or similar) beyond individual projects — production deployment experience preferred. • Familiarity with API documentation standards (Swagger/OpenAPI). • Basic DevOps awareness (Docker, CI/CD) and Git/version-control best practices. • Testing experience across unit and integration levels. • Experience with modern web app tooling — component libraries (e.g., Tailwind, MUI) and state management (e.g., Redux, Zustand). • Exposure to cloud-native development (AWS, Azure, or GCP), including containers and infrastructure as code. Join Us in Securing and Accelerating the World's AI Transformation Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Rubrik.com Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: • Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. • Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. • Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law. Rubrik provides equal employment opportunities to employees and applicants in all terms and conditions of employment, including recruiting, hiring, promotion, compensation, training, leave, and termination. Rubrik provides reasonable accommodations to qualified applicants and employees with disabilities in accordance with applicable law. If you need an accommodation to participate in the application process or to perform your job, please contact [contact via application link] . Accommodations may include changes to the application process, documents in an alternate format, a sign language interpreter, or specialized equipment. EEO IS THE LAW NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS

OpenaiHQI 78

OpenAI Singapore seeks an Applied AI Engineer to help push the frontier of GenAI with strategic startup customers. You will guide ideation, development, and scaling of applications on our API, collaborating with Sales, Solutions Engineering, Research, and Product teams. This role is based in Singapore with a hybrid model (3 days in office per week) and relocation support for new hires. You will work closely with the Startups Applied AI Lead and the broader startup ecosystem. J-18808-Ljbffr

ServiceNowHQI 83

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.   Job Description Team Bio:   ServiceNow’s Applied AI Forward Deployed Engineering (FDE)  team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.  Our mission:  We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.  Why This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software.  As a  Forward Deployed Solution Engineer (FDSE) , you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries.  Who You Are: You are a systems-minded, AI-native engineer who ships real software. You own the full stack—and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.  You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.  You will:   • Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI  • Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments  • Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements  • Shape developer experience by sharing feedback with platform and product teams   What You’ll Do:   • Deliver Production -  ready   solution in agile end-to-end sprints • Engineer with versatility:  APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components  • Operate with agility:  integrate with legacy systems, navigate ambiguity, ship safely at speed  • Codify patterns:  build scaffolds, SDKs, and documentation to scale success across customers  • Influence platform:  inform product strategy through field-tested insights and extensible code  What Success Looks Like: • Production-grade delivery:  Your solution builds consistently convert to scaled deployments in production environments  • Reusable impact:  You author libraries, prompts, and scaffolds that power multiple deployments and projects  • Platform influence:  Your work shapes internal tooling and is integrated into platform roadmap and primitives  • Velocity and precision:  You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts  • Engineering leadership:  You are trusted by architects, PMs, and customer teams to lead implementation from zero to one  Qualifications What You Bring: • Experience:  In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry • Relevant Experience:  10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles  • System architecture:  Proven ability to design and implement AI-native software in production environments  • Engineering depth:  Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)  • Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL • LLM tooling:  Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management  • Performance & observability:  Skilled in debugging distributed systems, tuning for latency, and implementing monitoring  • Platform mindset:  Can contribute to shared SDKs and tools, raising engineering velocity for the whole org  • Product sensibility:  Prioritize for user value, MVP iteration, and long-term scale  • DevOps fluency:  Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code  • Field readiness:  Able to travel up to 30% to embed onsite and deliver where it matters  Preferred Qualifications: • Experience integrating AI into SaaS platforms like ServiceNow or Salesforce  • Track record of production deployments in secure, regulated enterprise environments  • Contributions to dev experience tooling, frameworks, or reusable AI scaffolds  Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [contact via application link] for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

CelonisHQI 90

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly, generates strong ROI through deep and broad deployments. The Role: As an AI Applied Value Architect, you will spearhead AI and data-driven business transformation supporting customers in North America, by contributing to your customer’s end-to-end value journey using the Celonis Context Model. Working alongside Lead and Principal VEs, you will combine technical execution with consulting and project management. As an AI-fluent operator, your core mandate is to orchestrate complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their Order-to-Cash (O2C), Procure-to-Pay (P2P), Inventory Management, and Supply Chain ecosystems. The work you’ll do: Value Selling & Realization: Uncover the real issues by peeling back layers of organizational complexity. Own the Outcome from first discovery through realized ROI for your process areas. Tell the Value Story by crafting powerful executive narratives and leading business value workshops. Stakeholder Management: Cultivate powerful executive sponsorship across core business units to champion transformation programs. Co-own change management with customer leaders and design CoE roadmaps that build self-sufficiency. Program Management: Steer Global Transformations across complex workstreams. Own and implement AI-driven account planning and AI-assisted project management. Automate executive governance (QBRs, SteerCos) with minimal manual friction. Platform & AI Fluency: Act as an AI-fluent operator, utilizing AI tools for rapid technical outputs while partnering with Applied Value Engineers for deep-dive solution builds. Champion platform adoption. Scale Value & Innovation: Build a strategic expansion roadmap embedding Celonis as a strategic platform to drive adoption. Provide feedback to R&D based on evolving customer use cases. The qualifications you need: Experience: 3-5 years of experience taking ownership of complex workstreams, process areas, and customer relationships in Value Engineering, Consulting, or Pre-Sales. AI & Technical & Fluency: Solid background in enterprise IT and business software (e.g., SAP, Workday, Salesforce, Oracle). You operate primarily as an AI-fluent operator, utilizing AI copilots to generate outputs and automations, avoiding heavy manual coding. Builder Mentality: Comfortable setting your own direction within an account team. Driven to live for customer value , proactively hunting and ideating for highest-impact solutions. Process Improvement & Value Realization: Proven expertise in executing process improvements. Strategic Program & Stakeholder Management: Demonstrated expertise orchestrating multi-region or business unit transformation programs. Expert at mobilizing VP/Director-level sponsorship. Flawless English communication with commanding executive presence. Domain & Industry: Deep understanding of the Finance/Supply Chain domains. You stay continuously updated on business-critical use cases. Degree: Engineering, Computer Science, Mathematics, Business Analytics, comparable technical degree or a Business/Economics degree paired with a technical minor Travel Requirement: Frequent US travel is required. Candidates must be eligible for TN status under CUSMA. Continued employment is contingent upon successfully obtaining and maintaining valid TN status. Candidates must be currently legally authorized to work in Canada on a full-time basis. Must be legally eligible to work in Canada without requiring company sponsorship, LMIA support, or employer-assisted work permits. Celonis is committed to providing an accessible and inclusive candidate experience. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation at any point during your application or interview process, please contact [contact via application link]. Visa sponsorship is not offered for this role. The base salary range below is for the role in the specified location, based on a Full Time Schedule. The total compensation package includes base salary, [bonus / commission], equity, and a comprehensive benefits package (health, dental, life insurance, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below for this full-time, Remote, Toronto-based position is $132,000 — $151,000 CAD What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Act Digital FranceHQI 74

act digital est un groupe international de conseil et d'ingénierie qui accompagne ses clients dans leurs projets de transformation numérique. Présent dans 12 pays et fort de plus de 5 600 collaborateurs, nous mettons nos expertises au service de leurs enjeux en développement logiciel, cybersécurité, data, cloud et IA. Notre ambition : devenir le partenaire technologique de confiance des entreprises les plus innovantes, en concevant et sécurisant des systèmes qui renforcent leur performance et leur résilience. Rejoindre act digital France, c'est intégrer une organisation agile et engagée, qui fait avancer les projets avec ses clients pour transformer les idées en résultats concrets, avec pragmatisme et exigence. Le poste : Dans le cadre du développement de nos activités autour de l'IA générative, de l'IA agentique et de l'Applied AI, Act Digital France recherche un Forward Deployed Engineer. Votre mission : intervenir directement au cœur des enjeux IA de nos clients, depuis le cadrage des besoins jusqu'à la mise en production de solutions concrètes, robustes et à fort impact métier. Votre rôle Véritable référent technique senior, vous combinez vision d'architecture, compréhension métier et capacité à construire avec les équipes. Vous intervenez notamment sur : le cadrage de cas d'usage IA à forte valeur ; la définition des architectures et choix technologiques ; la conception et le développement de solutions basées sur les LLM, RAG, agents IA et architectures agentiques ; l'industrialisation, l'évaluation et la mise en production des solutions ; la définition des standards techniques et bonnes pratiques ; l'accompagnement et la montée en compétence des équipes clientes ; les échanges avec les CTO, DSI, CDO ou directions métiers sur les enjeux d'architecture, de sécurité, de risques, de coûts et de ROI. Il s'agit d'un rôle résolument hands-on : vous êtes capable de prototyper, coder, challenger une architecture et intervenir directement sur les composants critiques. Profil recherché : Vous avez idéalement évolué dans des fonctions de : Tech Lead / Principal Engineer ; AI Architect ; Senior Machine Learning Engineer ; CTO / VP Engineering en environnement startup ; Forward Deployed Engineer. Vous disposez d'une solide expérience en Software Engineering, Data, Machine Learning ou Intelligence Artificielle et avez déjà conçu ou industrialisé des systèmes complexes. Vous êtes à l'aise aussi bien avec les équipes techniques qu'avec des interlocuteurs de direction. Une expérience concrète de mise en production de solutions Generative AI ou Agentic AI sera particulièrement appréciée. Environnement Technique : Selon les missions : Python, OpenAI, Anthropic, Gemini, Mistral AI, LLM open source, RAG, agents IA, vector databases, API, AWS, Azure, GCP, Docker, Kubernetes, observabilité et évaluation des systèmes IA.

ServiceNowHQI 86

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.   Job Description Team & Role This role is part of our Product Design team, which turns a deep understanding of our users and customers into product experiences they love. Our designers bring expertise across design systems, visual design, interaction design, content design, and product design. At ServiceNow, design has an intentional seat at the table, and we partner with engineering and product management from the outset.  The Design Systems team creates the shared foundations that help ServiceNow teams deliver consistent, accessible, and high-quality product experiences. As Platform and the business units adopt AI-assisted ways of working, designers and front-end engineers need clear standards, practical examples, and reliable ways to check that those standards are being applied.  We're looking for a Principal Design Technologist to make design-system standards easier to understand, test, and implement. This role translates design-system standards and design files into clear specifications, design-owned coded reference components, validation tools, and implementation guidance. These resources show how an experience should look and behave before Engineering builds and maintains the production implementation.  Across Design, this principal individual contributor will use deep design and web-development expertise to create coded explorations that demonstrate the intended experience, behavior, and quality of components and AI-enabled interactions. They will mentor product designers who use code to explore and communicate experience concepts and contribute practical insight to the development and adoption of AI-assisted design tools. The role leads through expertise and influence. Product and Engineering retain ownership of product strategy, technical architecture, production code, roadmaps, and delivery.  What you get to do in this role:  • Work with Product Design, Product Management, and Engineering to set the direction for design-system tools and practices that improve quality and adoption across Platform and the business units.  • Create and maintain design-owned coded UI reference libraries based on design-system standards and source designs, including Figma where applicable. Use them to demonstrate component states, interactions, responsive behavior, accessibility expectations, and use of design tokens. Engineering owns the production of component libraries and their technical implementation.  • Evaluate and create AI-assisted tools that help teams find, apply, and check design-system guidance. Define practical ways to assess whether the tools are accurate, useful, understandable, and aligned with approved standards.  • Partner with front-end engineering teams to identify recurring differences between approved designs and delivered experiences. Create design-side review and validation methods that surface issues earlier, and use what teams learn during implementation to improve shared standards, reference components, and guidance.  • Lead the adoption of AI tools across Design by evaluating emerging tools, setting responsible working practices, and providing playbooks, demonstrations, workshops, and peer learning that help designers improve quality and work more efficiently.  • Mentor and connect product designers who use code to prototype AI experiences. Establish shared working practices, align their explorations with the design system, and turn useful lessons into reusable guidance for the broader design organization.  • Collaborate with Product Management and Engineering on the contribution process that enables experts across Design, Engineering, Product, Accessibility, Platform, and the business units to propose, review, and maintain design-system guidance and reference materials.  • Partner with Design Enablement and Engineering Operations to help front-end UI engineers use the design system effectively. Contribute design-system onboarding, training, implementation guidance, reference examples, and validation practices, while Engineering Operations leads engineering processes and adoption within the front-end community.  Qualifications Preferred Qualifications:  • 12+ years of experience in product design, design systems, design technology, prototyping, or a related discipline within complex, enterprise-scale products.  • A portfolio or body of work demonstrating strong systems thinking, interaction and visual craft, and the ability to turn design standards into reusable guidance, reference components, and tools.  • Hands-on experience with modern UI frameworks such as Lit and Web Components, with the ability to build coded prototypes and design-owned reference components that clearly demonstrate intended appearance and behavior.  • Deep knowledge of design systems, including components, patterns, design tokens, themes, accessibility, responsive behavior, localization, governance, and contribution processes.  • Experience using AI to improve design work, such as helping teams find guidance, create and review design-system content, check quality, or automate repeatable tasks. Experience defining appropriate human review and responsible-use practices.  • Experience using or extending design tools such as Figma, documentation platforms, component catalogs, analytics, plugins, or automated design-quality and accessibility checks.  • Demonstrated success setting direction and influencing senior partners across Design, Product, Engineering, Accessibility, and AI in a complex, distributed organization.  • Excellent communication, facilitation, storytelling, critique, and mentoring skills, with a record of helping a broad design organization adopt AI tools, shared standards, and new ways of working.  Basic Qualifications:   • Experience contributing throughout the product development process for web or software products.  • Experience in user experience design, product design, design systems, design technology, prototyping, or related field.  • Experience working with cross-functional teams across Product, Design, Accessibility, and Engineering.    For positions in this location, we offer a base pay of $221,200 - $387,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [contact via application link] for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

ServiceNowHQI 77

Team & Role This role is part of our Product Design team, which turns a deep understanding of our users and customers into product experiences they love. Our designers bring expertise across design systems, visual design, interaction design, content design, and product design. At ServiceNow, design has an intentional seat at the table, and we partner with engineering and product management from the outset.  The Design Systems team creates the shared foundations that help ServiceNow teams deliver consistent, accessible, and high-quality product experiences. As Platform and the business units adopt AI-assisted ways of working, designers and front-end engineers need clear standards, practical examples, and reliable ways to check that those standards are being applied.  We're looking for a Principal Design Technologist to make design-system standards easier to understand, test, and implement. This role translates design-system standards and design files into clear specifications, design-owned coded reference components, validation tools, and implementation guidance. These resources show how an experience should look and behave before Engineering builds and maintains the production implementation.  Across Design, this principal individual contributor will use deep design and web-development expertise to create coded explorations that demonstrate the intended experience, behavior, and quality of components and AI-enabled interactions. They will mentor product designers who use code to explore and communicate experience concepts and contribute practical insight to the development and adoption of AI-assisted design tools. The role leads through expertise and influence. Product and Engineering retain ownership of product strategy, technical architecture, production code, roadmaps, and delivery.  What you get to do in this role:  Work with Product Design, Product Management, and Engineering to set the direction for design-system tools and practices that improve quality and adoption across Platform and the business units.  Create and maintain design-owned coded UI reference libraries based on design-system standards and source designs, including Figma where applicable. Use them to demonstrate component states, interactions, responsive behavior, accessibility expectations, and use of design tokens. Engineering owns the production of component libraries and their technical implementation.  Evaluate and create AI-assisted tools that help teams find, apply, and check design-system guidance. Define practical ways to assess whether the tools are accurate, useful, understandable, and aligned with approved standards.  Partner with front-end engineering teams to identify recurring differences between approved designs and delivered experiences. Create design-side review and validation methods that surface issues earlier, and use what teams learn during implementation to improve shared standards, reference components, and guidance.  Lead the adoption of AI tools across Design by evaluating emerging tools, setting responsible working practices, and providing playbooks, demonstrations, workshops, and peer learning that help designers improve quality and work more efficiently.  Mentor and connect product designers who use code to prototype AI experiences. Establish shared working practices, align their explorations with the design system, and turn useful lessons into reusable guidance for the broader design organization.  Collaborate with Product Management and Engineering on the contribution process that enables experts across Design, Engineering, Product, Accessibility, Platform, and the business units to propose, review, and maintain design-system guidance and reference materials.  Partner with Design Enablement and Engineering Operations to help front-end UI engineers use the design system effectively. Contribute design-system onboarding, training, implementation guidance, reference examples, and validation practices, while Engineering Operations leads engineering processes and adoption within the front-end community.  Preferred Qualifications:  12+ years of experience in product design, design systems, design technology, prototyping, or a related discipline within complex, enterprise-scale products.  A portfolio or body of work demonstrating strong systems thinking, interaction and visual craft, and the ability to turn design standards into reusable guidance, reference components, and tools.  Hands-on experience with modern UI frameworks such as Lit and Web Components, with the ability to build coded prototypes and design-owned reference components that clearly demonstrate intended appearance and behavior.  Deep knowledge of design systems, including components, patterns, design tokens, themes, accessibility, responsive behavior, localization, governance, and contribution processes.  Experience using AI to improve design work, such as helping teams find guidance, create and review design-system content, check quality, or automate repeatable tasks. Experience defining appropriate human review and responsible-use practices.  Experience using or extending design tools such as Figma, documentation platforms, component catalogs, analytics, plugins, or automated design-quality and accessibility checks.  Demonstrated success setting direction and influencing senior partners across Design, Product, Engineering, Accessibility, and AI in a complex, distributed organization.  Excellent communication, facilitation, storytelling, critique, and mentoring skills, with a record of helping a broad design organization adopt AI tools, shared standards, and new ways of working.  Basic Qualifications:   Experience contributing throughout the product development process for web or software products.  Experience in user experience design, product design, design systems, design technology, prototyping, or related field.  Experience working with cross-functional teams across Product, Design, Accessibility, and Engineering.    For positions in this location, we offer a base pay of $221,200 - $387,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

DrataHQI 93

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: - Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. - Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. - A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. - Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. - A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here https://drata.com/about/careers/life and follow us on LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all for company news, employee stories, and career updates. Job Summary: Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond — and you'll work closely with AI and Software Engineers to turn validated approaches into production-ready systems. Drata's compliance platform is document-heavy: VRM Agent, AIQA, Trust Agent, policy-to-control mappers, and more all depend on high-quality information retrieval and reasoning. What you'll do: - Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML: chunking, embedding models, hybrid search, metadata filtering, semantic routing - Prototype GenAI workflows (including agentic systems) that map and reason over compliance objects (controls ↔ risks ↔ requirements ↔ evidence) - Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models, graph/link prediction, calibration, and structured prediction - Build and maintain evaluation frameworks: golden datasets, automated quality metrics, regression detection - Implement and tune ranking/reranking systems: cross-encoders, LLM-based rerankers, learning-to-rank, custom scoring functions - Run experiments to validate hypotheses and quantify improvements before production rollout - Debug failure modes and build error taxonomies across retrieval, reasoning, and generation - Collaborate with AI and Software Engineers to hand off validated approaches for productionization - Stay current on applied research in RAG, agents, LLM evaluation, and relevance modeling; bring innovations into the product What you'll bring: - 6+ years of experience in applied research, data science, or ML with a focus on NLP, information retrieval, or knowledge systems - 2+ years of hands-on experience building or contributing to production AI/ML systems - Strong foundation in information retrieval: dense and sparse retrieval, embedding models, search relevance - Experience with RAG systems: chunking strategies, vector databases, retrieval optimization - Proficiency in evaluation methodology: metrics design, golden dataset creation, A/B testing, statistical significance - Strong Python skills and comfort with notebook-driven research workflows - Experience communicating research findings to engineering teams and translating insights into actionable improvements - Bonus: Experience with compliance, legal, or document-heavy domains - Bonus: Publications or contributions in IR, NLP, or RAG evaluation How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata https://drata.com/about/life-at-drata?utm_source=chatgpt.com. - Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. - Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. - Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. - Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. - Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. - Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. The expected base salary range for this role is between $157,000 - $252,000 and is listed to provide transparency. Actual base pay will vary based on multiple factors — market location, job-related knowledge, skills, experience, and overall alignment to the role. Candidates shouldn't expect automatic placement at any particular point within the range. Offer amounts are determined by the qualifications each candidate brings to the position. Total compensation may also include equity designed to provide meaningful ownership in the company, as well as health and wellbeing benefits.

drataHQI 84

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: - Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. - Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. - A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. - Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. - A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here https://drata.com/about/careers/life and follow us on LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all for company news, employee stories, and career updates. Job Summary: Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond — and you'll work closely with AI and Software Engineers to turn validated approaches into production-ready systems. Drata's compliance platform is document-heavy: VRM Agent, AIQA, Trust Agent, policy-to-control mappers, and more all depend on high-quality information retrieval and reasoning. What you'll do: - Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML: chunking, embedding models, hybrid search, metadata filtering, semantic routing - Prototype GenAI workflows (including agentic systems) that map and reason over compliance objects (controls ↔ risks ↔ requirements ↔ evidence) - Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models, graph/link prediction, calibration, and structured prediction - Build and maintain evaluation frameworks: golden datasets, automated quality metrics, regression detection - Implement and tune ranking/reranking systems: cross-encoders, LLM-based rerankers, learning-to-rank, custom scoring functions - Run experiments to validate hypotheses and quantify improvements before production rollout - Debug failure modes and build error taxonomies across retrieval, reasoning, and generation - Collaborate with AI and Software Engineers to hand off validated approaches for productionization - Stay current on applied research in RAG, agents, LLM evaluation, and relevance modeling; bring innovations into the product What you'll bring: - 6+ years of experience in applied research, data science, or ML with a focus on NLP, information retrieval, or knowledge systems - 2+ years of hands-on experience building or contributing to production AI/ML systems - Strong foundation in information retrieval: dense and sparse retrieval, embedding models, search relevance - Experience with RAG systems: chunking strategies, vector databases, retrieval optimization - Proficiency in evaluation methodology: metrics design, golden dataset creation, A/B testing, statistical significance - Strong Python skills and comfort with notebook-driven research workflows - Experience communicating research findings to engineering teams and translating insights into actionable improvements - Bonus: Experience with compliance, legal, or document-heavy domains - Bonus: Publications or contributions in IR, NLP, or RAG evaluation How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata https://drata.com/about/life-at-drata?utm_source=chatgpt.com. - Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. - Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. - Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. - Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. - Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. - Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. The expected base salary range for this role is between $157,000 - $252,000 and is listed to provide transparency. Actual base pay will vary based on multiple factors — market location, job-related knowledge, skills, experience, and overall alignment to the role. Candidates shouldn't expect automatic placement at any particular point within the range. Offer amounts are determined by the qualifications each candidate brings to the position. Total compensation may also include equity designed to provide meaningful ownership in the company, as well as health and wellbeing benefits.

openaiHQI 83

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Production-ready deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Paris. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You might thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, product engineering or technical consulting. - Are fluent in both French and English - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

TuriumHQI 75

About the role We are seeking a research-oriented Software Engineer with advanced Python and C++ capabilities to develop algorithms, backend services and data-processing components across AI-assisted document-processing and enterprise financial-planning applications. The role combines applied research in document analysis and sensitive-information detection with the implementation of financial calculations and enterprise data pipelines. The common focus is translating complex mathematical and b

CelonisHQI 93

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team As an Intern in Applied AI Solution Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. VEs don't just understand code; they understand the entire architecture of a deal. By bridging the gap between deep technical capability, customer pain points, and revenue mechanics, it stands out as one of the most high-impact roles in tech. The Role As a VE Working Student, you will sit at the intersection of data engineering, process intelligence, and business strategy. You won't just support the team; you will actively build data-driven solutions within the Celonis Process Intelligence Platform to uncover hidden inefficiencies for companies across the Italian market. This is a highly analytical role where you will translate complex business challenges into technical requirements, using SQL/PQL, data modeling, and AI capabilities to transform raw data into million-dollar business cases The work you’ll do Mine & Model Data: Use the Celonis platform to analyze complex business processes, exposing hidden inefficiencies and engineering absolute operational transparency. Architect Use Cases: Translate high-level customer business challenges into rigorous technical requirements, building actionable, data-driven use cases within the Process Intelligence Platform. Deploy Advanced Analytics: Leverage Celonis data modeling, SQL/PQL, and native AI capabilities to generate deep insights and optimize enterprise-scale operations. Align AI & Tech Strategy: Evaluate and integrate Celonis solutions and AI features to map directly into a customer’s broader enterprise technology roadmap. Quantify Financial ROI: Transform raw data findings into hard financial metrics, building management-ready presentations that prove the exact operational value of implemented solutions. Pitch to Stakeholders: Partner with cross-functional project teams to deliver technical findings and strategic, data-backed recommendations straight to customer decision-makers. Bridge Tech & Business: Act as the ultimate product and analytical expert, translating complex data-driven solutions into clear corporate value. The qualifications you need Student of Business Analytics / Industrial Engineering / Business Informatics / Technology & Management / Economics / Mathematics or of a comparable program Strong communication skills and interest in interacting with potential customers Experience in consulting and highly interested in Data Analytics Knowledge in SQL and Python or related database query languages (completion of Celonis "Rising Star" modules would be a plus) Confidence to present to senior stakeholders and larger audiences Passionate about data, OpenAI and LLMs and the impact it can have on the world Analytical mindset and the ability to multi-task, prioritize and execute Fluent in English and Italian to effectively support our Italian business development and stakeholders. Availability for 6 months as a full-time intern. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Amazon Web ServicesHQI 78

Amazon Web Services Australia Pty Ltd in Melbourne seeks a hands-on Solutions Architect to accelerate adoption of Amazon Connect AI capabilities. You will embed with customers to design integrations, build tooling, and drive production-ready deployments. You will lead data readiness, model selection, prompt engineering, and multi-agent orchestration across enterprise systems, using MCP, Lambda, and Bedrock to deliver rapid time-to-value. J-18808-Ljbffr

ServiceNowHQI 74

Team Bio:    ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.   Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.   Why This Role Matters:  Enterprise leaders aren’t just experimenting with AI—they’re demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success.   As a Technical Program Manager, Forward Deployed Engineering- Applied AI, you operate on the frontlines of transformation. You will support ServiceNow’s cross-functional Forward Deployed Engineering (FDE) teams in building and delivering intelligent, scalable AI solutions that solve our customers’ most mission-critical challenges.   You'll work in a fast-paced environment as our FDE team partners with key strategic customers to accelerate time to value. You will provide a proactive, strategic perspective, manage customer relationships, and drive tactical execution from initial conception through FDE build development, delivery, and successful completion.   Who You Are:  You are a dynamic and innovative problem-solver who thrives in complex, fast-paced environments. You have a strong analytical mindset while still keeping focus on the bigger picture. You have a background managing SDLC processes while keeping a customer-first mentality. You have a passion for AI and scaling innovation. You excel at transforming ambiguity into clarity and have hands on experience driving projects/programs end to end.   What You’ll Do:   Work seamlessly with software engineers, product managers, product designers, and customers, to deliver intelligent systems that address mission-critical challenges using AI  Collaborate directly with customers to co-innovate AI solutions tailored to their needs, acting as the first point of contact or escalation  Develop trusted relationships with key internal and external technology leaders and stakeholders to drive focus on the strategic build objectives and optimize build delivery - this includes supporting and holding resources accountable for their responsibilities within the build   Drive large scale, cross-functional, high visibility AI software development builds on condensed timelines   Organize complex, ambiguous problems into prioritized milestones, deliverables, and success criteria for your builds, translating business objectives into execution strategy (tactical and strategic)   Anticipate and remove obstacles that slow down or prevent builds from delivering on objectives, especially on the AI/ML deployment front  Help manage risks, dependencies and escalate impediments, as well as releases and navigating AI release requirements   Drive process improvements and create documentation to promote best practices using automation to replace repeatable, operational tasks   Coordinate day to day activities required to deliver a great solution on time, as well as create transparency through reports, dashboards, and status updates  Seek to continuously grow by proactively seeking and embracing constructive feedback, as well as provide feedback to colleagues to encourage an open and collaborative culture   10+ years of project/program management experience in mid/large size software development companies  A solid understanding of SDLC and release management practices in cloud-based SaaS product organizations   Prior work delivering AI or intelligent workflow solutions at scale, with proven success in deploying AI solutions that delivered tangible customer impact  Familiarity with AI governance, compliance, and enterprise security practices  This role includes occasional travel Preferred Qualifications:  Demonstrated competence in key AI/ML software engineering program management best practices: program planning, schedule construction and management; risk assessment & mitigation, dependency management, change management, and predictive metrics   Outstanding collaboration and communication skills - clearly communicate changes, requests, and deadlines to the teams and risks, status, progress, and decisions to a variety of audiences including executives  Passion for working with people in technical and innovative environments, with the ability to work well with many different types of personalities in various functions    Strong leadership and relationship building skills to influence and motivate without authority - masterful in the art of bringing people together   Strong facilitation skills to lead/drive a variety of build events, with a high regard for quality, drive for continuous improvement across the organization, and ability to keep the big picture in view  Experience deploying AI solutions to production and skilled at identifying waste/delays in AI end-to-end development, deployment, and release processes  Exceptional team building and team management skills, including interpersonal skills, conflict resolution, and negotiation   Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving  Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.