AI Software Engineer

Job Description

Requirements
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### Must have:

### - Bachelors degree in Computer Science, Computer Engineering, or a closely related technical discipline. - 10+ years of software development experience in a relevant language, with hands-on use of modern front-end frameworks such as React, Vue, or Angular, plus several backend languages including Python, Java, Node.js, or Go. - Demonstrated success designing and delivering production-grade applications that use LLMs or AI services at scale. - Experience working with vector databases such as Milvus, Pinecone, Weaviate, or pgvector, along with advanced embedding model tuning in production environments. - Strong expertise across multiple LLM providers and AI orchestration frameworks such as LangChain, LlamaIndex, or custom-built solutions. - Significant experience leading technical teams, driving cross-functional programs, and mentoring engineers. - Expert-level experience with cloud platforms such as AWS, GCP, or Azure, and advanced containerization with EKS. - Willingness to work from our office in Niskayuna, NY or Cambridge, MA. - For candidates based in Cambridge, MA, completion of a required three-month hybrid onboarding residency in Niskayuna, NY is required. - 13+ years of full SDLC experience, including architecture, technical leadership, and large-scale systems optimization, is preferred. - Advanced knowledge of enterprise RAG architectures, semantic search optimization, and conversation memory at large scale is preferred. - Experience with multimodal AI integration, model fine-tuning, and deployment of custom AI models is preferred. - Experience with AI observability, cost optimization, and performance monitoring at enterprise scale is preferred. - Experience influencing other teams and shaping technical direction and roadmaps is preferred. - Experience developing technical strategy and long-range technology roadmaps is preferred.

Responsibilities:
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- Define the AI architecture and technical direction across our product portfolio. - Lead cross-functional initiatives with product and data science teams. - Design RAG and agent-based workflows and improve LLM integrations. - Build multi-tenant, highly available systems with strong observability. - Set standards for AI cost control, monitoring, and security. - Partner with product, data science, and engineering leaders to advance research and product outcomes. - Mentor teams and help raise our standards in Agile delivery, testing, security, and documentation.
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Company:
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We are GE Vernova, and we offer a strong work environment with professional development, challenging career opportunities, and competitive compensation. Our benefits package includes medical, dental, vision, and prescription drug coverage; access to Health Coach and a 24/7 nurse-based resource; employee assistance support; retirement savings with company matching and company retirement contributions; tuition assistance; adoption assistance; paid parental leave; disability and life insurance; 12 paid holidays; and permissive time off. This role is based in Niskayuna, NY or Cambridge, MA, and relocation assistance is available. For Cambridge-based hires, we provide a three-month hybrid onboarding residency in Niskayuna with travel, housing, and a living stipend included. We are an equal opportunity employer and make employment decisions without regard to protected characteristics. We also note that U.S. work authorization is required and a drug screen may be part of the hiring process. The posted salary range is $145,400 to $242,500, with possible geographic differential and eligibility for a discretionary annual bonus.
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