06 ago - Milano
Experteer Italy
Experteer Overview
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Lead AI Engineer & Technical Product Owner drives the end‑to‑end design, development, and delivery of AI‑powered solutions that create measurable business value. You guide cross‑disciplinary teams to build scalable, production‑ready AI products while aligning with enterprise governance and business priorities. The role blends data science expertise with delivery leadership in a fast‑paced, regulated environment.
You will shape AI strategy, own the backlog, and ensure adoption and impact across multiple domains. This is an opportunity to lead transformative AI initiatives at a global healthcare leader.
Responsibilities
Define AI solution strategy and own product backlog and roadmap for AI products and platforms
Translate business needs into epics, features, and user stories; drive adoption and measurable business outcomes
Lead design, development, and deployment of ML, predictive analytics, Generative AI, and agentic AI solutions
Oversee model lifecycle: experimentation, training, deployment, monitoring, and continuous improvement
Establish MLOps, governance, performance monitoring, and operational support practices
Collaborate with Data Engineers to build governed data assets and robust data pipelines
Lead Agile squads; facilitate planning, refinement, retrospectives, and delivery governance
Ensure AI solutions comply with security, privacy, and regulatory requirements; manage risk and governance
Define and monitor OKRs/KPIs for performance, value realization, and adoption
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI, or related disciplines
5‑7+ years in Data Science, ML, or AI Engineering roles
Proven experience delivering AI/Analytics solutions in enterprise environments
Experience xkiyazw as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead
Strong knowledge of ML, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks
Experience with cloud AI ecosystems (Azure, AWS, or GCP)
Understanding of data pipelines, ETL/ELT, data lakes, and data warehousing
Experience with Agile methodologies and Scrum
Benefits
Annual premio with target
Vacation days
Parential leave (min 12 weeks)
Bereavement leave
Caregiver leave
Volunteer leave and wellbeing programshell? (well‑being reimbursement explicitly mentioned)
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