Senior Staff AI Engineer
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
Python · Java · Go · JavaScript · TypeScript · AWS · GCP · Azure · Docker · Kubernetes · LangChain · LlamaIndex
About GE Vernova
Builds equipment, software, and services for power generation, wind, grid transmission, and electrification, serving utilities and industrial customers through a massive installed base.
Public · 5000+ people
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
Job Description Summary As a Senior Staff AI Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company. You’ll design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development. You’ll own technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems. You’ll partner with internal teams and external contractors, mentor engineers, and run reviews and integrations. You’ll drive Agile practices, establish testing for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and measurable impact. Job Description Responsibilities: Identify and deliver reusable AI components for forward-deployed engineers. Ship resilient REST APIs and microservices. Build RAG and
More from the job description
Job Description Summary As a Senior Staff AI Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company. You’ll design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development. You’ll own technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems. You’ll partner with internal teams and external contractors, mentor engineers, and run reviews and integrations. You’ll drive Agile practices, establish testing for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and measurable impact. Job Description Responsibilities: Identify and deliver reusable AI components for forward-deployed engineers. Ship resilient REST APIs and microservices. Build RAG and multimodal LLM features. Design agentic workflows for autonomous tasks. Mentor engineers and provide guidance to contractors and partners. Required Qualifications: Bachelor’s degree in computer science, Computer Engineering, or a related technical field. 8+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript. Proven track record shipping production applications that incorporate LLMs o [... source excerpt omitted ...] ientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of experience in AI/ML, including architectural design, technical leadership, and system optimization. Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization. Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex). Experience with enterprise RAG architectures, semantic sear
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