GE Vernova

AI & LLM Engineering Lead

GE Vernova

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSAzureCloudCyber SecurityGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • 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.

Requirements

  • 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.
  • Industrial, energy, or automation domain experience strongly preferred.
  • 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.
  • Fluent English and Portuguese required; Spanish proficiency preferred.
Benefits
  • No 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML developmentLarge Language Modelsgenerative AIintelligent agentsPythonPyTorchTensorFlowAPI-driven solution designMLOps practicesengineering workflow automation
Soft skills
leadershipcommunicationcollaborationcoachingproblem-solvingrisk mitigationstrategic thinkingadaptabilityproject managementstakeholder engagement