AI & LLM Engineering Lead

: • 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

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: • 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. • 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 required • Spanish proficiency preferred

: • Relocation Assistance Provided: No