Job Description Summary

As a Sr. Staff Software 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. If you’re unsure, we encourage you to apply.

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.

• Must be willing to work onsite at the Niskayuna, NY office.

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.

About the company:

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

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 November 26, 2025.

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.