Senior AI Architect

Senior AI Architect

The Senior AI Architect is an enterprise technical authority responsible for defining scalable AI architectures and guiding consistent implementation across Wind Engineering. This role translates AI strategy into durable technical patterns, standards, and reference architectures that enable Wind Engineering to build AI solutions that are reusable, secure, maintainable, and aligned to enterprise platforms. Senior AI Architects mentor and develop Embedded AI Architects and provide technical oversight across the AI portfolio, ensuring that solutions built within subsystems conform to enterprise standards and can be reused across Wind Engineering.

This role is also responsible for updating engineering standard work and quality management systems to reflect AI-forward advancements.

Key Responsibilities:

• Define and Maintain Enterprise AI Architectures and Reusable Solution Patterns
• Create and Maintain AI Design Practices
• Update Engineering Standard Work and Quality Management Systems with AI Advancements
• Partner with Digital and IT on Platforms, MLOps, and Integration Standards
• Review and Guide Subsystem AI Designs for Scalability and Reuse
• Mentor and Develop Embedded AI Architects
• Serve as Technical Escalation Point for Complex or High-Risk AI Initiatives

Required Qualifications:

• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or a related technical field; advanced degree strongly preferred.
• Significant hands-on experience designing, building, and deploying AI or machine learning solutions in complex technical environments, with demonstrated progression to enterprise-level architecture responsibilities.
• Deep technical knowledge across AI/ML domains relevant to industrial engineering, including supervised learning, deep learning, time-series analysis, generative AI, agentic workflows, and physics-informed modeling.
• Experience defining technical standards, reference architectures, and design practices across a portfolio of AI solutions.
• Familiarity with MLOps platforms, cloud AI infrastructure (AWS, Azure, or GCP), model serving frameworks, and enterprise data platforms.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided:
Yes.