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GE Vernova

Principal AI Software Engineer

GE Vernova

. Define the technical architecture and drive strategy for enterprise-grade AI solutions .

Posted 10/15/2026full-timeNiskayuna • New York • United StatesLead💰 $145,400 - $242,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining technical architecture and driving strategy for enterprise-grade AI solutions, with a strong focus on security, scalability, and cost-efficiency. Proficient in leading cross-functional teams and mentoring engineering talent while ensuring high standards in AI systems and software craftsmanship.

Highest-signal resume keywords
AI Architecture DesignLLM IntegrationCloud-Native DevelopmentVector Database ExperienceAI Orchestration Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaNode.jsGoReactVueAngularEKSKubernetesAI/ML Services
Soft Skills
CommunicationMentoringCollaboration
Tools & Technologies
AWSGCPAzureLangChainLlamaIndexAgentCoreMilvusPineconePgvectorAI Observability Tools
Industry Keywords
Enterprise AI SolutionsPredictive AnalyticsRAG ArchitecturesMulti-Tenant SystemsModel Monitoring

Tech Stack

Tools & technologies
AngularAWSAzureCloudGoogle Cloud PlatformJavaJavaScriptKubernetesNode.jsPythonReactVue.jsGo

About the role

Key responsibilities & impact
  • Define the technical architecture and drive strategy for enterprise-grade AI solutions
  • Lead integration of LLMs, agentic workflows, and predictive analytics into the product ecosystem
  • Ensure AI systems are secure, scalable, and cost-efficient
  • Set the technical vision and architectural standards for AI initiatives
  • Lead design and implementation of RAG architectures, complex agent workflows, and LLM orchestration
  • Build and maintain multi-tenant, high-availability AI systems
  • Ensure observability and performance at scale
  • Define and enforce standards for AI security, cost management, and model monitoring
  • Lead cross-functional initiatives with product, data science, and engineering teams
  • Mentor engineering teams and elevate technical standards through collaborative design
  • Bridge research and product while championing software craftsmanship, reliability, and security

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline
  • Minimum of 10 years of professional software development experience
  • Mastery of modern front-end frameworks such as React, Vue, or Angular
  • Robust backend language skills in Python, Java, Node.js, or Go; Python preferred
  • Experience architecting and deploying production-grade applications leveraging LLMs or AI/ML services
  • Strong practical experience with vector databases such as Milvus, Pinecone, or pgvector
  • Experience with embedding model optimization
  • Expertise in AI orchestration frameworks such as LangChain, LlamaIndex, or AgentCore
  • Deep proficiency in cloud-native development using AWS, GCP, or Azure
  • Experience with containerization, including EKS/Kubernetes
  • Ability to communicate complex technical strategies to diverse stakeholder groups
  • Legally authorized to work in the United States
  • Successful completion of a drug screen, as applicable
  • Desired: 13+ years across the full software development lifecycle
  • Desired: Advanced understanding of large-scale enterprise RAG, semantic search, and conversation memory management
  • Desired: Experience with multi-modal AI, model fine-tuning, and custom AI model deployment
  • Desired: Expertise in AI observability tools, performance monitoring, and cost optimization
  • Desired: Track record of influencing technology roadmaps and driving cross-organizational collaboration

Benefits

Comp & perks
  • Great work environment
  • Professional development
  • Challenging careers
  • Competitive compensation
  • Discretionary annual bonus
  • Medical, dental, vision, and prescription drug coverage
  • Health Coach from GE Vernova, 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 and 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