Senior Staff AI Engineer

Cambridge, United States

Full Time

Posted September 1, 2026

$128k - $128k

Application opens on company website

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

As a Senior Staff AI Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company.

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 or AI services at scale.
Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes).
Experience with technical oversight, code review processes, and quality assurance methodologies.
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 search optimization, and conversation memory management at scale.
Experience building and scaling AI-powered features for 100k+ users.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).