Principal AI Software Engineer

GE Vernova

Principal AI engineer architecting enterprise LLM, RAG, and agent systems at GE Vernova. Leading secure, scalable AI initiatives supporting the energy transition.

Posted 8/21/2026full-timeNiskayuna • Massachusetts, New York • 🇺🇸 United StatesLead💰 $145,400 - $242,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting enterprise AI applications, leading cross-team initiatives, and optimizing LLM integrations. Proficient in advanced AI cost management, security standards, and mentoring technical teams in Agile methodologies.

Highest-signal resume keywords

AI Application ArchitectureLLM Integration OptimizationCross-Team LeadershipAWS, GCP, or Azure ExpertiseAdvanced Containerization with EKS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming ExperienceReactVueAngularPythonJavaNode.jsGoVector DatabasesEmbedding Model Optimization

Soft Skills

MentoringCollaborationTechnical Leadership

Tools & Technologies

LangChainLlamaIndexAI Orchestration FrameworksAI Observability Tools

Industry Keywords

Enterprise AIRAG ArchitecturesSemantic Search OptimizationMulti-Modal AI IntegrationSoftware Development Lifecycle

Tech Stack

Tools & technologies

AngularAWSAzureGoGoogle Cloud PlatformJavaJavaScriptNode.jsPythonReactVue.js

About the role

Key responsibilities & impact

Drive technical vision and architect enterprise AI applications across multiple company initiatives
Set AI architecture and technical vision across products
Lead cross-team initiatives with product and data science leaders
Design RAG and agent workflows and optimize LLM integrations
Build multi-tenant, high-availability systems with observability
Establish AI cost management, monitoring, and security standards
Partner with product, data science, and engineering leaders
Mentor teams and raise standards in Agile, testing, security, and documentation
Complete a required three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY for Cambridge-based resources
Collaborate with scientists and engineers during the onboarding residency

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
10+ years of programming experience in a relevant language
Experience using modern front-end frameworks: React, Vue, or Angular
Experience with multiple backend languages: Python preferred, Java, Node.js, or Go
Proven track record designing and shipping production applications incorporating LLMs or AI services at scale
Experience with vector databases such as Milvus, Pinecone, Weaviate, or pgvector
Advanced embedding model optimization in production applications
Expertise with multiple LLM providers and AI orchestration frameworks such as LangChain, LlamaIndex, or custom frameworks
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship
Expert-level experience with AWS, GCP, or Azure
Advanced containerization experience with EKS
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
Must be legally authorized to work in the United States
Successful completion of a drug screen, as applicable
Preferred: 13+ years of full software development lifecycle experience
Preferred: Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale
Preferred: Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models
Preferred: Experience with AI observability tools, cost optimization strategies, and enterprise-scale performance monitoring
Preferred: Experience with cross-organizational collaboration and influencing teams’ directions and road maps
Preferred: Experience with technical strategy development and technology roadmap planning

Benefits

Comp & perks

Discretionary annual bonus
Travel, housing, and living stipend during the required three-month onboarding residency
Medical coverage
Dental coverage
Vision coverage
Prescription drug coverage
Health Coach, a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions
Company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Relocation assistance