Lead AI Validation & Governance (GenAI & ML)

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 Smart working 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