GE Vernova · 1 month ago
AI & LLM Engineering Lead
GE Vernova is focused on transforming engineering and operational processes through advanced AI and LLM solutions. The AI & LLM Engineering Lead will drive the strategy and implementation of these technologies to enhance productivity and compliance within the utility sector.
EnergyEnergy EfficiencySustainability
Responsibilities
Lead AI/LLM strategy, solution architecture, and implementation across Engineering, Operations, and Project Delivery
Build and maintain LLM-based agents to support: intelligent processing of technical documentation, automated design validation and engineering workflows, testing and QA automation, knowledge retrieval and contextual reasoning
Integrate AI into core power automation workflows: IEC 61850 SCD engineering files, relay settings, SCADA HMI & logic, substation documentation, etc
Establish AI governance, secure data pipelines, and compliance with utility-grade cybersecurity standards
Partner with engineering managers and subject-matter experts to identify high-value AI automation opportunities
Develop scalable pipelines for inference, fine-tuning, continuous learning, and lifecycle management in cloud and on-prem environments
Evaluate and incorporate emerging AI technologies (RAG, vector stores, autonomous agents, internal copilots)
Monitor model performance, accuracy, drift, and cost; lead improvement cycles and risk mitigation
Train and coach engineering teams on practical AI tools and adoption in daily workflows
Ensure compliance with GE Vernova global standards, regulatory expectations, and utility-sector requirements
Qualification
Required
Bachelor's or Master's degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field
Hands-on experience with AI/ML development and production deployment
Proven track record in full product lifecycle: ideation, prototyping, development, operations
Deep expertise with Large Language Models, generative AI, and intelligent agents
Deep expertise with Engineering workflow automation
Deep expertise with Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Deep expertise with API-driven solution design and MLOps practices
Deep expertise with Cloud infrastructure (AWS, Azure, GCP) and on-prem architectures
Deep expertise with Data governance and cybersecurity best practices
Fluent English and Portuguese required
Preferred
Industrial, energy, or automation domain experience strongly preferred
Spanish proficiency preferred
Company
GE Vernova
GE Vernova provides energy consulting, gas power, and grid solutions.
Funding
Current Stage
Public CompanyTotal Funding
$7.68MKey Investors
U.S. Department of Energy Office of ElectricityARPA-E
2024-12-03Grant· $1.99M
2024-12-03Grant· $2.99M
2024-11-18Grant· $2.7M
Recent News
2026-01-12
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2026-01-11
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