Lead Ai Validation & Governance (Genai & Ml)
Pubblicato il 04-10-2026 - Generali Group in Ravenna
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.La preghiamo di leggere attentamente la panoramica e i requisiti per questa possibilità di lavoro riportati di seguito.Smart working and flexible hoursCorporate welfare systemSupplementary health insuranceTraining and developmentPerform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including data quality and performance metricsAlign validation practices with regulations (e.G., EU AI Act) and internal guidelines, translating requirements into processes and controlsIdentify key risks (bias, explainability, compliance) and define validation controls and mitigationsDefine and implement continuous monitoring and alerting for production AI systems (drift, emerging GenAI risks)Ensure ongoing lifecycle compliance,
including periodic re-validationDesign reusable functionalities to enable scalable governance and monitoringCollaborate with data scientists, engineers, and stakeholders as a second line of defenseMaintain robust documentation and support audits, contributing to standards and best practicesStrong expertise in ML, GenAI and agentic AI, with knowledge of lifecycle frameworks and governance practicesProvide hands-on design, validation, and testing contributions in pipelines and prototypes4–7+ years of experience in AI/ML validation, model risk, or AI governance in regulated environmentsAdvanced Python programming skills with experience in pandas, scikit-learn, LightGBMAbility to develop clean, modular, maintainable code with emphasis on reproducibility xysqume and qualityAutonomy and proactivity with regulatory awareness (EU AI Act), explainability tools, and modern AI architecturesItalian and English working proficiencyAnalytical thinking, risk mindset, strong communication, ability to challenge assumptions, strong documentationAbility to work independently and in a team with diverse mindsetsMultitasking and deadline managementWillingness to learn and tackle complex topicsanalytical thinkingclear communicationadvanced Python (OO design)Lead AI Validation & Governance (GenAI & ML) ravenna, emilia romagna, it#J-*****-Ljbffr