You will partner with globally distributed teams to engage, intervene and accelerate assimilation of AI into Grid SW services activities that drive tangible outcomesJob Description
Key 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.
- 10+ 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.
- Demonstrated experience of driving at least 5 projects with strong AI & ML engagement
- 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.
- Strong trouble shooting skills
- Good communication skills and prior experience of working with globally distributed teams
Preferred Qualifications:
- Experience in AI/ML, including architectural design, technical leadership, and system optimization.
- Having a master's degree or equivalent in AI is a plus.
- Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) 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.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's degree in computer science, computer engineering, or a related technical field
- 10+ years of experience with Python, Java, or Go
- Front-end experience with JavaScript or TypeScript
- Experience shipping production applications incorporating LLMs or AI services at scale
- Experience leading technical teams and guiding external contractors or vendors
- Experience driving at least five projects with strong AI and machine learning engagement
- Strong experience with AWS, GCP, or Azure
- Advanced containerization experience with Docker and Kubernetes
- Experience with technical oversight, code review processes, and quality assurance methodologies
- Strong troubleshooting skills
- Good communication skills and experience working with globally distributed teams
- AI/ML experience in architectural design, technical leadership, and system optimization
- Master's degree or equivalent in AI
- Experience with SOAP, REST, MuleSoft, and advanced state management
- Experience with Milvus, Pinecone, Weaviate, pgvector, or other vector databases
- Experience optimizing embedding models
- Experience with multiple LLM providers and LangChain or LlamaIndex
- Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
- Experience building and scaling AI-powered features for more than 100,000 users
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to 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. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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