{"id":3456759,"url":"https://alion.io/job/capgemini-senior-ai-governance-engineer","title":"Senior AI Governance Engineer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1757,"ghost_share":0.005,"stale_share":0.816,"repost_share":0.018,"time_to_fill_p50_days":30,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gdańsk, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"EU AI Act","optional":false},{"name":"Giskard","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-28T09:50:27Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-09T17:54:53Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.\nYour role\nAs an AI Governance Engineer at Capgemini Invent, you will help organizations build trusted, scalable, and compliant AI ecosystems. You will work closely with clients, data scientists, engineers, architects, and governance teams to embed Responsible AI principles and regulatory requirements directly into AI and machine learning operating models.\nYour tasks\nImplement AI governance controls in the ML lifecycle: model registry and approval workflows, versioning, lineage, access, logging and traceability of model decisions.\nBuild and run evaluation and testing: bias and fairness tests, performance and robustness evaluation, adversarial and red-team testing of LLM and agentic applications, guardrails and content safety.\nAutomate the evidence: model cards, evaluation reports, data sheets and technical documentation generated from pipelines rather than written by hand.\nSet up monitoring in production: drift, performance, incident detection and alerting, aligned with post-market monitoring obligations.\nMap technical controls to the EU AI Act (Articles 9 to 15), ISO/IEC 42001 and NIST AI RMF together with the AI governance consultants.\nImplement AI inventory and governance tooling and integrate it with the client's data catalog and platform.\nWork with data engineers and our Databricks team so that AI governance runs on the same platform as the data.\nBuild reusable assets: test suites, evaluation templates and control-as-code patterns.\nYour profile\n5+ years as a machine learning engineer, MLOps engineer or data scientist with production experience; strong Python.\nHands-on experience with MLflow or a comparable model lifecycle tool, and with at least one cloud ML platform (Databricks, Azure ML, SageMaker, Vertex AI).\nExperience testing and evaluating models and LLM applications: fairness and bias libraries (e.g., Fairlearn, AIF360), evaluation and monitoring tools (e.g., Evidently, Giskard, LangSmith, Azure AI Content Safety).\nUnderstanding of the technical requirements of the EU AI Act and of ISO/IEC 42001 is a plus.\nAbility to explain a test result to a non-technical risk owner; fluent English.\nExperience in financial services, energy, pharma or public sector is a plus.\nWhat You'll love about working here\n Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.\n Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.\nCutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.\n Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.\nGet to know us\nCapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.\nDo you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube.\nAbout Capgemini\nCapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. 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