Innovation & Engineering Efficiency Leader – AI, ML, LLMs

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GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

⚡ Energy

🚀 Aerospace

🤖 Artificial Intelligence

Energy • Aerospace • Artificial Intelligence

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance • Define and execute the AI and advanced analytics roadmap, from ideation through production deployment • Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems • Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes • Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs • Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights • Establish best practices for AI governance, scalability, security, and ethical use • Manage budgets, vendors, and technology partners related to AI and digital transformation • Mentor and develop technical leaders and teams, building a strong innovation culture

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (Master’s degree preferred) • Strong background in IT and software engineering, with proven experience implementing AI, ML, and LLM-based solutions in production environments • Demonstrated leadership experience managing high-performing technical teams • Solid understanding of cloud platforms, data architecture, MLOps, and AI lifecycle management • Experience leading digital transformation or organizational efficiency initiatives • Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value • Experience with generative AI platforms, foundation models, and LLM orchestration frameworks (preferred) • Knowledge of process excellence methodologies (Lean, Six Sigma, Agile, or similar) (preferred) • Background in engineering, industrial, or technology-driven organizations (preferred) • Experience working in global or matrixed organizations (preferred)

🏖️ Benefits

• Relocation Assistance Provided: No