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Senior AI Technical Product Owner

Pubblicato il 21-08-2026 - Baker Hughes in Italia

Overview
As a Senior AI Technical Product Owner at Baker Hughes, you'll bridge product vision and engineering execution, translating ML/AI solutions into implementable technology. You will collaborate closely with the AI Solution Manager to adapt solution intent to delivery realities and apply systems engineering practices to drive clarity, quality, and successful outcomes across cross‐functional teams.
Our Artificial Intelligence & Development team provides industry‐leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry.
Responsibilities
- Collaborate with the AI Solution Manager to preserve solution intent while adapting to execution realities
- Contribute to architectural and technical decision‐making to ensure feasibility and technical completeness
- Manage the initiative backlog, writing clear, unambiguous features and user stories
- Assess technical complexity to support estimation, planning, and delivery commitments




- Lead technical deep‐dives and requirements workshops with engineers and specialists
- Support AI/ML use case definition, data readiness, and model evaluation to inform delivery decisions
- Act as the primary technical interface for stakeholders during execution, communicating key issues and progress
- Execute and support design, analysis, testing, integration, and prototyping using sound engineering practices

Qualifications
- Have a solid software engineering foundation (architectures, REST APIs, microservices, cloud)
- Have working knowledge of AI/ML platforms and techniques (Azure, OpenAI, Databricks, LangChain)
- Have the ability to write clear, high‐quality features and user stories executable without ambiguity
- Have strong analytical and systems‐thinking skills to evaluate architecture, impacts, and trade‐offs
- Be execution‐focused, pragmatic, and detail‐oriented
- Have experience with Agile/Scrum delivery and DevOps prac

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