Principal AI Software Engineer

GE Vernova

Principal AI Software Engineer architecting secure, scalable enterprise AI applications for GE Vernova. Leading LLM, RAG, agent, and cloud initiatives across energy-transition products.

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI architecture, LLM integration, and multi-tenant system design while leading cross-functional teams and mentoring technical staff. Proficient in optimizing AI services and establishing security and cost management standards in production environments.

Highest-signal resume keywords

AI ArchitectureLLM IntegrationTechnical MentorshipAWS ExpertiseContainerization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming ExperienceFrontend FrameworksBackend LanguagesVector DatabasesEmbedding Model OptimizationAI Orchestration FrameworksAgile MethodologiesProduction Application DesignCross-Team InitiativesTechnical Vision

Soft Skills

LeadershipCollaborationMentoringCommunicationProblem-Solving

Tools & Technologies

AWSGCPAzureEKSLangChainLlamaIndexMilvusPineconeWeaviatePgvector

Industry Keywords

AI ServicesHigh-Availability SystemsObservabilityEnergy TransitionTechnical Foundation

Tech Stack

Tools & technologies

AngularAWSAzureGoGoogle Cloud PlatformJavaJavaScriptNode.jsPythonReactVue.js

About the role

Key responsibilities & impact

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
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 in Niskayuna, NY for Cambridge-based resources
Collaborate with scientists and engineers to establish a technical foundation and align with GE Vernova’s energy-transition mission

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 such as 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, including EKS
Willingness to work out of an office located in Niskayuna, NY or Cambridge, MA
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Discretionary annual bonus
Travel, housing, and living stipend for the three-month onboarding residency
Medical, dental, vision, and 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