Lead Ai Validation & Governance (Genai & Ml)
Pubblicato il 24-09-2026 - Generali Group in Teramo
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