Principal AI Software Engineer
GE Vernova · Niskayuna, NY · Yesterday
On-siteEngineering$145k–$243k/yrFull-time
Responsibilities
- Set AI architecture and technical vision across products.
- Lead cross-team initiatives with product and data science.
- Design RAG and agent workflows; optimize LLM integrations.
- Build multi-tenant, high-availability systems with observability.
- Establish AI cost management, monitoring, and security standards.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
- 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
- Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
- Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
- Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
- Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
- Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
Qualifications
- Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
- Eligible for Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities.
- Eligible for relocation assistance.
Preferred Qualifications
- 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.
- Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale.
- Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models.
- Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale.
- Experience with cross-organizational collaboration and influencing other teams’ directions and road maps.
- Experience with technical strategy development and technology roadmap planning.
Benefits
- Medical, dental, vision, and prescription drug coverage.
- Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
- 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.
- Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.