Responsibilities

Si assicuri di inviare la sua candidatura con tutte le informazioni richieste, come indicato nella panoramica del lavoro riportata di seguito.

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- Partner with business stakeholders to identify, prioritize, and deliver AI use cases aligned to strategic objectives.
- Act as Technical Product Owner (TPO) for AI products and platforms, managing backlog prioritization and roadmap execution.
- Translate business requirements into actionable technical epics, features, and user stories.
- Drive adoption of AI solutions by ensuring measurable business outcomes and user satisfaction.
- 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.




- 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.
- Lead Agile squads delivering AI products and capabilities across multiple business domains.
- Facilitate sprint planning, backlog refinement, retrospectives, and delivery governance activities.
- Remove delivery obstacles and ensure predictable execution against committed objectives.
- Promote DevOps and Agile best practices across the squad.
- Act as the bridge between business teams, product managers, architects, and engineering teams.
- Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements.
- Defi

📌 Technical Product Owner – Lead AI Engineer (Milano)
🏢 Jobtailor
📍 Milano