GE Vernova
Sr AI Solutions Architect (m/f/d)
Salzbergen · Schenectady
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Senior
- Country
- DE
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Oct 2026
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the posting
Job Description Summary
Fleet Performance is seeking a Senior AI Solutions Architect to bridge the gap between advanced artificial intelligence and complex fleet engineering. In this role, you will design and deploy scalable AI-driven solutions to optimize the performance, reliability, and maintenance of our global installed base of assets.
Job Description
Key Responsibilities:
Solution Architecture: Design end-to-end AI/ML architectures that integrate with existing fleet monitoring systems, turbine data, and legacy system of record databases.
Deployment & Scaling: Oversee the transition of models from pilot to production-scale deployment, delivering solutions with high availability, data security, and interoperability across global sites.
Technical Leadership: Serve as the primary AI technical point of contact for Fleet Performance stakeholders, guiding best practices in data pipeline development, MLOps, and model governance.
Collaborate: Develop AI resource network within GEV Engineering, across GEV/Wind, and external stakeholders to stay aligned on latest methodologies and industry benchmarks.
Required Qualifications:
Bachelor’s or Master’s degree in Engineering, Computer Science, or Data Science or equivalent experience
Significant experience in AI/ML model development within industrial, energy, or manufacturing sectors.
Proven track record of designing solutions for large-scale, time-series data environments.
Strong understanding of fleet operations, asset management, or reliability engineering.
Proficiency in cloud architecture (e.g., AWS, Azure) and modern MLOps frameworks.
Additional Information
Relocation Assistance Provided: No
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