Technical Product Owner - Lead AI Engineer

Johnson & Johnson Johnson & Johnson · Pharma · Milano, Italy +2

Lead AI Engineer & Technical Product Owner responsible for designing, developing, and delivering AI-powered solutions, including Generative AI and Agentic AI, within a healthcare context. The role involves leading AI squads, managing the end-to-end lifecycle of AI solutions, and ensuring compliance with enterprise standards and regulations.

What you'd actually do

  1. Partner with business stakeholders to identify, prioritize, and deliver AI use cases aligned to strategic objectives.
  2. Act as Technical Product Owner (TPO) for AI products and platforms, managing backlog prioritization and roadmap execution.
  3. Translate business requirements into actionable technical epics, features, and user stories.
  4. Drive adoption of AI solutions by ensuring measurable business outcomes and user satisfaction.
  5. Design, develop, and deploy Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions.

Skills

Required

  • Data Science
  • Machine Learning
  • AI Engineering
  • Technical Product Owner
  • Delivery Lead
  • Squad Lead
  • Generative AI
  • LLMs
  • Vector Databases
  • RAG
  • AI agent frameworks
  • Cloud AI ecosystems (Azure, AWS, or GCP)
  • Data Engineering concepts
  • Agile methodologies
  • Scrum delivery frameworks

Nice to have

  • Experience leading multiple AI squads or programs
  • Hands-on experience with MLOps and CI/CD practices
  • Certifications in Agile, Scrum, Product Ownership, Cloud, or AI technologies
  • Experience working in regulated industries
  • 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

What the JD emphasized

  • 5–7+ years of experience in Data Science, Machine Learning, or AI Engineering roles
  • Demonstrated experience leading the delivery of AI and Analytics solutions in enterprise environments
  • 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
  • Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements

Other signals

  • 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
  • Ensure AI solutions are scalable, secure, maintainable, and compliant with enterprise standards
  • Strong knowledge of Machine Learning, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks