Lead AI Validation & Governance (GenAI & ML)
Pubblicato il 19-10-2026 - Generali Group in Ravenna
Overview In this role you lead AI validation and governance across traditional ML and GenAI/agentic AI, shaping the group’s model risk framework. You provide independent oversight through the full AI lifecycle and stay hands-on with design, validation, and testing. You work with data scientists and engineers to build reusable governance and monitoring tooling, ensuring robust, compliant AI in business-critical contexts. This position blends strategic governance with technical delivery in a regulated environment, offering impact at scale.
Retribuzione / Benefits
Lavoro da remoto and flexible hours Corporate welfare system Meal vouchers Supplementary health insurance Wellbeing initiatives Training and development
Responsabilità
Perform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including data quality and performance metrics Align validation practices with regulations (e.g., EU AI Act) and internal guidelines, translating requirements into processes and controls Identify key risks (bias, explainability, compliance) and define validation controls and mitigations Define and implement continuous monitoring and alerting for production AI systems (drift, emerging GenAI risks) Ensure ongoing lifecycle compliance,
including periodic re-validation Design reusable functionalities to enable scalable governance and monitoring Collaborate with data scientists, engineers, and stakeholders as a second line of defense Maintain robust documentation and support audits, contributing to standards and best practices Strong expertise in ML, GenAI and agentic AI, with knowledge of lifecycle frameworks and governance practices Provide hands-on design, validation, and testing contributions in pipelines and prototypes
Requisiti fondamentali
4–7+ years of experience in AI/ML validation, model risk, or AI governance in regulated environments Advanced Python programming skills with experience in pandas, scikit-learn, LightGBM Ability to develop clean, modular, maintainable code with emphasis on reproducibility and quality Autonomy and proactivity with regulatory awareness (EU AI Act), explainability tools, and modern AI architectures Italian and English working proficiency Analytical thinking, risk mindset, strong communication, ability to challenge assumptions, strong documentation Ability to work independently and in a team with diverse mindsets Multitasking and deadline management Willingness to learn and tackle complex topics analytical thinking risk mindset clear communication advanced Python (OO design) pandas scikit-learn