Lead AI Validation
Pubblicato il 24-10-2026 - Generali Group in Modena
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