Lead AI Validation
Pubblicato il 28-10-2026 - Generali Italia in Milano
Within the Group Data, Artificial Intelligence and Automation department, we are looking for a highly experienced Data Scientist / Data Engineer to lead AI Validation and Governance across both traditional Machine Learning and next-generation Generative and Agentic AI systems.
The Lead AI Validation & Governance (GenAI & ML) will play a pivotal role in defining, implementing, and scaling the Group’s AI governance and model risk framework, ensuring that AI systems are robust, explainable, compliant, and fit for purpose in business-critical contexts.
This role sits at the intersection of AI model validation, model risk management, and Responsible AI, providing independent oversight and technical leadership across the entire AI lifecycle — from design and development to deployment, monitoring, and periodic review.
In addition to its strategic and governance responsibilities, this role is expected to remain strongly hands-on, actively contributing to the design, validation, and testing of AI models and systems.
The ideal candidate combines deep technical expertise with a pragmatic mindset, and is comfortable developing and reviewing model validation code; working directly with ML and GenAI pipelines; building prototypes, validation tools, and monitoring solutions; interacting with data, models, and APIs in a production-oriented environment
Key responsibilities of the role will include:
Perform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including model design, data quality, and performance (accuracy, robustness, explainability, fairness)
Align validation and governance practices with applicable regulations (e.g., EU AI Act), internal guidelines, and risk appetite, translating requirements into operational processes and controls
Identify and assess key risks (bias, explainability, compliance), and define appropriate validation controls and mitigation actions
Define and implement continuous monitoring and alerting mechanisms for AI systems in production (e.g., data/performance drift, emerging risks such as GenAI hallucinations)
Ensure ongoing compliance through lifecycle oversight, including periodic re-validation of models
Design and implement reusable functionalities to enable scalable governance and monitoring of AI models and agents
Collaborate with data scientists, engineers, and cross-functional stakeholders, acting as asecond line of defense to challenge assumptions and strengthen decision-making
Maintain robust documentation and support audit and regulatory reviews, while contributing to standards, templates, and best practices
Strong expertise in machine learning, Generative AI and agentic AI, with solid knowledge of AI lifecycle frameworks and validation/governance practices
4–7+ years of experience in AI/ML validation, model risk, or AI governance preferably within structured or regulated environments
Advanced Python programming skills (object-oriented design) with hands-on experience in core data science libraries (e.g., pandas, scikit-learn, LightGBM)
Proven ability to develop clean, modular, maintainable code, with strong focus on robustness, reproducibility,
and quality
High autonomy and proactivity, with strong collaboration skills and good understanding of regulatory frameworks (e.g., EU AI Act), explainability tools, and modern AI architectures
Italian and English working proficiency
Soft skills:
Analytical thinking, risk mindset, communication skills, ability to challenge assumptions, strong documentation discipline
Ability to work independently and as part of a team, collaborating with individuals with diverse mindsets
Proficiency in multitasking and managing dynamic deadlines
Willingness to learn new technological and complex topics and to continuously challenge oneself
What we offer
We offer employment at the VI level with the relevant salary, in accordance with the CCNL ANIA for non-executive employees and the Generali Group Company Agreement.
Gross annual salary ranging between 43K€ and 55K€. The final offer will be aligned with the candidate’s professional experience, technical and soft skills relevant to the role, and may include an individual variable component.
We also offer:
Lavoro da remoto and flexible hours
Corporate welfare system
Meal vouchers
Supplementary health insurance and discounted insurance policies
Wellbeing initiatives
Training and development
Structured continuous learning paths (technical and managerial)
Career development programs within the Group
Access to learning platforms and internal mobility opportunities, including international
Why Join Generali
Joining Generali means becoming part of an international Group with a solid history and a forward-looking vision, placing people at the center of its sustainable growth strategy.
At Generali, we promote a responsible, inclusive, and inno