AI & LLM Engineering Lead

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

    Job Description:
  • 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:
  • Relocation Assistance Provided: No

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