About this role
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