Lead AI Validation

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 environmentKey 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 controlsIdentify and assess key risks (bias, explainability, compliance), and define appropriate validation controls and mitigation actionsDefine 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 modelsDesign and implement reusable functionalities to enable scalable governance and monitoring of AI models and agentsCollaborate with data scientists, engineers, and cross-functional stakeholders, acting as asecond line of defense to challenge assumptions and strengthen decision-makingMaintain robust documentation and support audit and regulatory reviews, while contributing to standards, templates, and best practicesStrong expertise in machine learning, Generative AI and agentic AI, with solid knowledge of AI lifecycle frameworks and validation/governance practices4–7+ years of experience in AI/ML validation, model risk, or AI governance preferably within structured or regulated environmentsAdvanced 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 qualityHigh autonomy and proactivity, with strong collaboration skills and good understanding of regulatory frameworks (e.g., EU AI Act), explainability tools, and modern AI architecturesItalian and English working proficiencySoft

skills:
Analytical thinking, risk mindset, communication skills, ability to challenge assumptions, strong documentation disciplineAbility to work independently and as part of a team, collaborating with individuals with diverse mindsetsProficiency in multitasking and managing dynamic deadlinesWillingness to learn new technological and complex topics and to continuously challenge oneselfWhat

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:Smart working and flexible hoursCorporate welfare systemMeal vouchersSupplementary health insurance and discounted insurance policiesWellbeing initiativesTraining and developmentStructured continuous learning paths (technical and managerial)Career development programs within the GroupAccess to learning platforms and internal mobility opportunities, including internationalWhy Join GeneraliJoining 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 innovation-driven work environment where everyone can contribute to creating value for customers, society, and the communities in which we operate.

We offer
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