Lead AI Validation & Governance (GenAI & ML)

Generali Italia; Italia; In loco; EUR 43.000 - 55.000; Tempo pieno

Vantaggi offerti da questo lavoro

Smart working and flexible hours

Meal vouchers

Supplementary health insurance

Career development programs

Descrizione del lavoro

Generali Italia is hiring a Lead AI Validation & Governance specialist to oversee AI systems, ensure compliance, and implement governance frameworks. The ideal candidate will have extensive experience in AI validation, model risk management, and deep technical expertise.

Responsibilities include validating AI systems, ensuring regulatory compliance, and developing monitoring tools. The role offers a gross annual salary of €43,000 to €55,000, with smart working options and various corporate benefits.

Competenze

• Strong expertise in machine learning and AI lifecycle frameworks.
• 4–7+ years of experience in model risk or AI governance.
• Advanced Python programming skills and experience with data science libraries.

Mansioni

• Perform validation of AI/ML systems across the full lifecycle.
• Align practices with regulations and internal guidelines.
• Design continuous monitoring mechanisms for AI systems.

Conoscenze

Machine Learning

Generative AI

Python programming

Model validation/governance

Risk assessment

Formazione

4–7+ years of experience in AI/ML validation

Strumenti

pandas

scikit-learn

LightGBM

Descrizione del lavoro

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

• 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 a second 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.

Requirements

• 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.

Benefits

Gross annual salary ranging between 43 000 € and 55 000 €, with a variable component possible; final offer aligned with experience, skills, and relevance. 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.

• Smart working 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.

EEO statement

As an Equal Opportunity Employer, Generali evaluates all applications exclusively on objective and gender‑neutral criteria, based on skills, experience, and potential, ensuring fairness and transparency throughout the selection process.