Senior AI Governance Engineer @ Capgemini
Core
Implement AI governance controls, evaluation, and monitoring within the ML lifecycle to ensure compliance with regulations like the EU AI Act and ISO/IEC 42001.
Role type
Senior AI Governance Engineer
Builds
Trusted, scalable, and compliant AI ecosystems for client organizations
Domain
AI Governance, Machine Learning Operations, Regulatory Compliance
Deliverable
production ML models
Required skills
Python, Machine Learning, MLOps, Model Lifecycle Management, Cloud Platforms, LLM Evaluation, Bias and Fairness Testing, Regulatory Mapping
Preferred skills
EU AI Act knowledge, ISO/IEC 42001, Financial services/energy/pharma domain experience
Technologies
MLflow, Databricks, Azure ML, SageMaker, Vertex AI, Fairlearn, AIF360, Evidently, Giskard, LangSmith
Responsibilities
Implement AI governance controls (model registry, approval workflows, lineage, access, logging), Build and run evaluation/testing (bias, fairness, robustness, red-team testing), Automate evidence generation (model cards, evaluation reports), Set up production monitoring (drift, performance, incident detection), Map technical controls to EU AI Act/ISO/NIST, Integrate governance tooling with data catalogs, Build reusable assets (test suites, control-as-code patterns)
Seniority
Senior, hands-on IC
