**Job Description Summary**

Want to be part of Energy Transformation, have a meaningful career, work on complex solutions like carbon capture, decarbonization, fast power and grid reconstruction & stabilization that will change the way power is delivered to the world? Come join one of the most formidable design teams in the Power Industry, GEV’s Gas Power Controls team.  At GEV Gas Power Controls, we design and implement control solutions that have meaningful impact on people’s lives and enable the transformation of the energy sector.  You will be empowered, work in a Scaled Agile Framework environment (SAFe) driving meaningful changes and continuous improvement using Lean principles.  You will have a complete life cycle experience from initial concept development through detailed design, implementation, and upgrades, working with over five hundred global engineers with a single purpose; deliver the cleanest, most efficient power to our customers with the Operability needed in today’s dynamic power grid.
GE Vernova is committed to advancing its AI/ML capabilities to drive innovation and efficiency in its operations. As we embark on our HDNU AIML journey for 2030, we are seeking a Senior Engineer (Controls, Technology, and Hardware) at the SPB3 level. This role will be instrumental in supporting the integration and deployment of advanced AI/ML solutions across our HDNU control team. The successful candidate will work closely with cross-functional teams to ensure the seamless application of AI/ML technologies, enhancing performance, productivity, reliability, efficiency, safety, and decarbonization efforts.

Job Description

Roles and Responsibilities

Strategic Solution Architecture & Governance:

• Lead the design and governance of AI/ML-integrated control system solutions for HDNU controls value stream.

• Leading and supporting the HDNU controls copilot governance, develop the strategy for implementation across the HDNU control’s domain.

• Act as a trusted technical advisor to Copilot teams and internal HDNU all GT/ST/HRSG/ BOP stakeholders.

• Present architecture options and trade-offs clearly to HDNU system architects and executive audiences.

• Contribute to reusable accelerators, reference architectures, and platform standards.

Scalability, Security & Interoperability:

• GenAI solutions move efficiently from PoC to production with clear architectural standards.

• Reusable patterns and accelerators reduce duplication and accelerate delivery teams.

• AI solutions are secure, cost-managed, and aligned with enterprise governance.

Engagement with Internal and External Transfer:

• Translate & emerging AI/ML technologies into production-ready HDNU control applications.

• Support pilot projects and proofs-of-concept, ensuring successful technology adoption & execution on daily management.

• Develop the training plan & training for HDNU team on Controls copilot solutions.

AI/ML Strategy & Accelerated Adoption:

• Drive the AI strategy for HDNU, value stream, identifying and championing AI/ML deployment opportunities in pilot projects.

• Develop the execution plan, implementation strategy and cost savings from solutions.

• Ownership of Quality documents on process change, develop the quality documents (Confluence) for new processes.

Cross-Functional Collaboration:

• Collaborate with mechanical, electrical, systems, accessories and instrumentation engineers to ensure holistic control solutions.

• Work with the ITR team to adapt and influence broader technology initiatives.

Innovation & Continuous Improvement:

• Scout for new ideas, technologies, and methodologies to provide a competitive advantage.

• Promote an innovation mindset and mentor engineers to foster continuous learning.

Stakeholder Communication & Roadmap Management:

• Present & drive the solution roadmaps and technical strategies to senior leadership and stakeholders.

• Articulate complex technical concepts and their business value clearly and concisely.

Required Qualifications

Bachelor’s degree in engineering, I &C, Chemistry, Electrical, Mechanical, Computer Science or related engineering.

• At least 12 years of experience in a combined cycle domain engineering capacity, with a focus on AI/ML and control systems.

• Minimum 5 years of experience in Combined cycle project as added advantage.

• Strong oral and written …