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Site AI Partner

Pubblicato il 09-09-2026 - GE Vernova in Località Produttiva Via Meucci

Job Description Summary
The AI Partner will play a pivotal role in identifying, evaluating, and deploying high‑impact artificial intelligence, machine learning, and automation applications at the site level. This role requires close collaboration with various functions and stakeholders to drive strategic initiatives and ensure the successful integration and scaling of AI solutions.
Roles and Responsibilities
- Collaborate with different functions, lean teams, and stakeholders to proactively identify and evaluate high‑impact opportunities for AI/ML applications at the site level.
- Act as a key AI partner to cross‑functional project teams.
- Guide teams through the potential and limitations of AI/ML to effectively address specific business challenges.
- Translate business challenges into clear problem statements, measurable success criteria, and value hypotheses.
- Serve as a key partner for the site to leverage AMP 2.0 possibilities.
- Coach different teams in AMP 2.0 and guide them through the different functionalities to develop their own use‑cases in AMP.




- Drive the development of proof‑of‑concept (POC) for high‑impact opportunities at the site level.
- Work closely with the PT Central AI team to quickly run feasibility tests or adapt existing use‑cases for the site’s business needs.
- Partner with the PT Central AI team and other stakeholders to scale AI POC to production‑scale deployments.
- Activate the business impact of the AI solution at the site level.

Required Qualifications
- Bachelor’s/master’s degree in industrial engineering, computer science, electrical engineering, electronics and communication engineering, data science, artificial intelligence or comparable discipline, or equivalent experience.
- Proven experience in the industrial application of AI/ML (PoCs, first deployments) as well as in working with business departments and IT/OT.
- Data & Integration: SQL, structured/unstructured data, APIs/ETL, data quality checks; integration with enterpr

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