Lead Ai Validation & Governance (Genai & Ml)

Generali Group; Terni; Ibrido; EUR 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Smart working and flexible hours

Corporate welfare system

Supplementary health insurance

Training and development

Descrizione del lavoro

Generali Group is seeking an experienced AI validation and governance professional to lead risk-aware oversight across traditional ML and GenAI systems. You will collaborate with data scientists and engineers to implement scalable governance tooling, ensuring compliant AI across business-critical contexts.

The role blends strategic governance with hands-on validation, testing, and documentation in a regulated environment. Strong Python skills and multilingual proficiency are essential.

Competenze

• 4–7+ years of experience in AI/ML validation or model governance in regulated environments.
• Advanced Python programming skills with emphasis on reproducibility.
• Ability to develop clean, modular, maintainable code.
• Experience aligning validation with regulations (EU AI Act) and internal policies.
• Strong analytical thinking and risk mindset with clear documentation.
• Fluent Italian and English working proficiency.

Mansioni

• Perform independent validation and challenge of AI/ML and GenAI systems across the full lifecycle, including data quality and performance metrics.
• Identify key risks (bias, explainability, compliance) and define validation controls and mitigations.
• Define and implement continuous monitoring and alerting for production AI systems (drift, risks).
• Ensure ongoing lifecycle compliance, including periodic re-validation and audits.
• Design reusable governance and monitoring tooling for scalability.
• Collaborate with data scientists, engineers, and stakeholders as a second line of defense.
• Maintain robust documentation and contribute to standards and best practices.
• Strong expertise in ML, GenAI, and agentic AI concepts.

Conoscenze

AI governance

Model risk

Validation & testing

Data quality

Regulatory awareness

Python programming

OO design

Communication

Documentation

Independent thinking

Strumenti

pandas

scikit-learn

LightGBM

Descrizione del lavoro

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.

• Smart working and flexible hours
• Corporate welfare system
• Supplementary health insurance
• Training and development
• 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
• 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
• clear communication
• advanced Python (OO design)