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AI & LLM Engineer

GE Vernova · Posted Oct 13

Power generation, wind turbine, grid solution, and electrification services

Noida, Uttar Pradesh, India; Pallavaram, Tamil Nadu, IndiaFull-timeOnsiteSenior Level5+ years₹30.0L–₹45.0L yearly62 applicants
EnergyPower GenerationRenewable EnergyElectrificationWind EnergyPublic Company
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About the role

The AI & LLM Engineer role sits within GE Vernova's engineering, operations, and project delivery organization, driving the strategy, design, and deployment of advanced Artificial Intelligence and Large Language Model solutions. The work targets secure, scalable, and compliant AI adoption inside power automation and utility-sector workflows, including IEC 61850 SCD engineering files, relay settings, and SCADA HMI & logic. This role builds LLM-based agents and scalable inference, fine-tuning, and lifecycle pipelines, and coaches engineering teams on adopting AI tools in daily workflows.

What you will do

  • 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.

Skills used in this role

PythonPyTorchTensorFlowMLOpsAWSAzureGCPRAGVector StoresLarge Language ModelsGenerative AIIntelligent AgentsAutonomous AgentsIEC 61850SCADACybersecurityData Governance

What the employer is looking for

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field.
  • Professional Experience
  • Hands-on experience with AI/ML development and production deployment.
  • Proven track record in full product lifecycle: ideation, prototyping, development, operations.
  • Industrial, energy, or automation domain experience strongly preferred.

Preferred qualifications

  • Deep expertise with: Large Language Models, generative AI, and intelligent agents
  • Engineering workflow automation
  • Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • API-driven solution design and MLOps practices
  • Cloud infrastructure (AWS, Azure, GCP) and on-prem architectures
  • Data governance and cybersecurity best practices

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

SS
Scott Strazik

Chief Executive Officer and President

SF

Stephen F. Angel

Chairman of the Board

LL

Lola Lin

Chief Legal Officer and Secretary

RM

Roger Martella

Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs

EG

Eric Gray

CEO, Power Segment