AI & LLM Engineering Lead

Remote, USA Full-time
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: • No Apply tot his job
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