At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. We are recruiting for a TPO - Lead AI Engineer based in Milan - Italy ;

Role Overview The Lead AI Engineer & Technical Product Owner is responsible for driving the design, development, and delivery of AI-powered solutions that create measurable business value. The role combines deep expertise in Data Science and Machine Learning with strong delivery leadership, Agile execution, and product ownership capabilities. The Lead AI Engineer acts as the technical leader for AI squads, guiding multidisciplinary teams across Data Science, Data Engineering, Software Engineering, and Business Analysis functions to deliver scalable, production-ready AI products and services.

This role owns the end-to-end lifecycle of AI solutions, from ideation and requirements definition through development, deployment, adoption, and operational excellence, while ensuring alignment with business priorities, technical standards, and enterprise governance. AI Engineering & Data Science Leadership Design, develop, and deploy Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions. Lead model lifecycle activities including experimentation, training, validation, deployment, monitoring, and continuous improvement.

Establish engineering best practices covering MLOps, model governance, performance monitoring, and operational support.



Data Engineering & Platform Collaboration Collaborate closely with Data Engineers to design trusted, reusable, and governed data assets. Support the creation of robust data pipelines required for AI development and operationalization.

Drive integration of structured and unstructured data sources across enterprise platforms. Contribute to AI and Data Platform architecture decisions to improve scalability and reuse.

Agile Delivery Leadership Lead

Agile squads delivering AI products and capabilities across multiple business domains.

Promote

DevOps and Agile best practices across the squad.

Stakeholder Management

Act as the bridge between business teams, product managers, architects, and engineering teams. Metrics & Continuous Improvement Define and monitor OKRs/KPIs for AI solution performance, business value realization, adoption, and operational effectiveness.

Qualifications Required Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related disciplines. 5–7+ years of experience in Data Science, Machine Learning, or AI Engineering roles. Proven experience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead. Strong knowledge of Machine Learning, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks.





Experience working with cloud-based AI ecosystems (Azure, AWS, or GCP). Understanding of Data Engineering concepts, including data pipelines, ETL/ELT, data lakes, and data warehousing.

Experience with Agile methodologies and Scrum delivery frameworks.

Certifications in Agile, Scrum, Product Ownership, Cloud, or AI technologies.

Agile Product

Development, Analytical Reasoning, Coaching, Collaboration, Competitive Landscape Analysis, Critical Thinking, Customer Alignment, Demand Forecasting, Human-Computer Interaction (HCI), Organizing, Product Development, Product Improvements, Product Strategies, Requirements Analysis, Research and Development, Software Development Life Cycle (SDLC), Software Development Management, Stakeholder Management, Technical Credibility, Technical Writing, Technologically Savvy Agile Product Development, Analytical Reasoning, Coaching, Collaboration, Competitive Landscape Analysis, Critical Thinking, Customer Alignment, Demand Forecasting, Human-Computer Interaction (HCI), Organizing, Product Development, Product Improvements, Product Strategies, Requirements Analysis, Research and Development, Software Development Life Cycle (SDLC), Software Development Management, Stakeholder Management, Technical Credibility, Technical Writing, Technologically Savvy In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the vigente amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions.

📌 Lead Ai Operations Engineer (Madrid)
🏢 Johnson u0026 Johnson Innovation
📍 Madrid