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Lead AI Solutions Architect
GE Vernova. Identify high-value AI opportunities aligned with subsystem priorities .
Tech Stack
Tools & technologiesAWSAzureCyber Security
About the role
Key responsibilities & impact- Identify high-value AI opportunities aligned with subsystem priorities
- Translate business and engineering pain points into prioritized AI use cases with measurable success criteria
- Build and maintain a subsystem AI opportunity roadmap
- Evaluate use cases for technical feasibility, data availability, business value, and implementation complexity
- Advise subsystem leadership on AI opportunities
- Design, configure, develop, and deploy AI applications, agentic workflows, copilots, automation solutions, predictive models, and knowledge systems
- Participate in architecture reviews and design discussions
- Ensure solutions are maintainable, scalable, and supportable
- Integrate AI into engineering processes, applications, tools, and workflows
- Support digitization and automation of engineering knowledge and decision-making
- Ensure compliance with AI governance, cybersecurity, intellectual property, Responsible AI, validation, and quality standards
- Drive AI adoption and capability development within the subsystem
- Educate engineers and technical teams on AI capabilities and applications
- Support pilots, proofs of concept, and scaled deployments
- Encourage reuse of successful AI solutions and lessons learned
- Contribute patterns, reusable components, lessons learned, and technical innovations to the Wind Engineering AI community
- Provide input to enterprise architecture teams
- Share implementations for expansion across engineering domains
- Monitor deployed AI solutions for performance, quality, reliability, business value, and adoption
- Identify opportunities for enhancement, optimization, reuse, or retirement
- Establish documentation, support models, ownership structures, and visibility into AI investments and benefits
Requirements
What you’ll need- Bachelor's degree in Engineering, Computer Science, Data Science, Applied Mathematics, Systems Engineering, or a related technical discipline with 5 years of experience, OR Master's degree in one of these disciplines with 3 years of experience
- At least 1 year of experience designing, developing, deploying, or supporting AI, machine learning, advanced analytics, automation, or digital engineering solutions
- At least 5 years of experience working directly with engineering teams to solve technical or operational problems through digital technologies
- Must be legally authorized to work in the United States
- Successful completion of a drug screen, as applicable
- Working knowledge of generative AI, retrieval-augmented generation (RAG), AI agents, machine learning, and workflow automation
- Experience applying AI within engineering, manufacturing, industrial, energy, or highly technical environments
- Familiarity with GE Vernova digital platforms, ARC Foundry, AWS, Azure, AMP, or related enterprise technology ecosystems
- Hands-on experience with agentic AI frameworks, copilots, workflow orchestration tools, or engineering knowledge management systems
- Experience implementing AI-enabled solutions for design automation, simulation acceleration, predictive engineering, FMEA support, validation workflows, or engineering productivity improvement
- Strong understanding of subsystem engineering processes and engineering lifecycle activities
- Ability to balance innovation with engineering rigor, quality, and governance requirements
- Ability to operate in a matrixed organization with local and enterprise stakeholders
Benefits
Comp & perks- Discretionary annual bonus eligibility
- Medical, dental, vision, and prescription drug coverage
- Health Coach access with a 24/7 nurse-based resource
- Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
- GE Vernova Retirement Savings Plan
- Tax-advantaged 401(k) savings opportunity with company matching contributions
- Company retirement contributions
- Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Professional development opportunities
- Relocation assistance not provided