AI & LLM Engineering Lead

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.

Required Qualifications

Education

• 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.

Technical Skills

• 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

Languages

• Fluent English and Portuguese required

• Spanish proficiency preferred

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position