Senior Staff AI Engineer

LS3002 GE Vernova Operations LLC; Cambridge (MA); On-site; USD 128,000 - 213,000; Full time

Benefits offered by this job

Healthcare benefits

Relocation assistance

401(k) with company match

Job summary

GE Vernova is seeking a Senior Staff AI Engineer to lead enterprise full stack and AI platform architecture at scale. You will design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development.

You will own technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems, while mentoring engineers, running reviews, and driving Agile practices with observability for AI features.

Qualifications

• Bachelor’s degree in CS, Computer Engineering, or related field.
• 8+ years building production apps with at least one major language and front-end experience.
• Proven track record shipping LLM/AI services at scale.
• Experience leading technical teams and guiding external contractors.
• Strong cloud experience (AWS/GCP/Azure) and advanced containerization (Docker, Kubernetes).
• Experience with oversight, code reviews, and QA methodologies.

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 guide contractors/partners.

Skills

Python

Java

Go

JS/TS

LLMs

Cloud platforms

Docker

Kubernetes

Education

Bachelor’s degree in CS/Engineering

Tools

Docker

Kubernetes

React

LangChain

LlamaIndex

Milvus

Pinecone

Weaviate

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 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.

Eligibility

Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists 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 search optimization, and conversation memory management at scale.
• Experience building and scaling AI-powered features for 100k+ users.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. 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).

Relocation Assistance Provided

Yes For candidates applying to a U.S. based position, the pay range for this position is between $127,600.00 and $212,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026.

Benefits

• Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs

GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Mission Statement

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com