HDNU Controls- AI Integration System Architect
GE Vernova · Posted Oct 14
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova's Gas Power Controls team designs and implements control solutions for the power industry, including carbon capture, decarbonization, fast power, and grid reconstruction and stabilization, working in a Scaled Agile Framework (SAFe) environment alongside more than five hundred global engineers. As part of the HDNU AIML journey for 2030, the team is integrating and deploying advanced AI/ML solutions across HDNU control operations. This role leads the architecture, governance, and delivery of AI/ML-integrated control system solutions, including HDNU controls copilot governance, training plans, and cross-functional collaboration with mechanical, electrical, systems, accessories, and instrumentation engineers.
What you will do
- 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.
- 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.
- 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.
- 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.
- 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.
- Scout for new ideas, technologies, and methodologies to provide a competitive advantage.
- Promote an innovation mindset and mentor engineers to foster continuous learning.
- Present & drive the solution roadmaps and technical strategies to senior leadership and stakeholders.
- Articulate complex technical concepts and their business value clearly and concisely.
Skills used in this role
What the employer is looking for
- 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 communication skills.
- Exposure to enterprise AI governance, compliance, and risk management frameworks.
- Experience contributing to enterprise platform strategy or AI operating models.
- Expertise in AI/ML methodologies, including predictive modelling, anomaly detection, deep learning, and reinforcement learning
- Demonstrated leadership and interpersonal skills.
- Deep understanding of modern control system architectures and industrial communication protocols.
- Proficiency in programming languages commonly used for AI/ML (e.g., Python, C, C++) and control systems (e.g., C++, Ladder Logic, Structured Text). -As added advantage.
- Exceptional strategic thinking, problem-solving, and analytical skills.
- Demonstrated ability to influence, collaborate, and communicate effectively across diverse technical and business teams.
- Strong mentorship capabilities.
Preferred qualifications
- Strong leadership skills, keeping team focused and innovating through dynamic business cycle.
- System Integration mindset for meeting customer demands
- Excellent communication skills with ability to sell technology through simple and clear messaging.
- Lean mindset, acting on feedback, driving productivity initiatives for business results and personal engineering satisfaction.
Benefits and support
- Relocation Assistance Provided: Yes
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
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