Find jobs
Pricing
Free Resume Checker
Sign in
Sign up
FIND JOBSPRICINGFREE RESUME CHECKERSIGN INSIGN UP
Jobs
/Machine Learning Engineer jobs
GE
GE Vernova

Senior Staff AI Engineer

Salary$128k – $213k
Location2 Locations
Also inNiskayuna, NY; Cambridge, MA
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentEngineering
Company size10,000+ people
First seenSep 10, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have6
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, 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
Nice to have6
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
Eligibility1
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
Skills
Python
Java
Go
JavaScript
TypeScript
AWS
GCP
Azure
Docker
Kubernetes
React
Vue
Angular
Milvus
Pinecone
Weaviate
pgvector
LangChain
LlamaIndex
Benefits
Health insurance
Dental
Vision
Prescription drug coverage
Health coach
Employee assistance program
Retirement savings plan
401(k)
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid holidays
Unlimited PTO
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.
Legal
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).
Benefits
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.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.
More roles at GE Vernova
Engineer - Systems EngineeringLead Cyber Security EngineerAccounts Payable SpecialistEngineer - Controls EngineeringLead Engineer - Customer Application
Seekless
Seek less: one search across companies' own career pages, instead of a dozen job boards.
Product
Find jobsCompaniesPricingFree Resume CheckerBlog
Legal
AboutPrivacyTermsCookies
© 2026 SEEKLESS. ALL RIGHTS RESERVED.BUILT WITH CARE