1,014 jobs for "AI Infrastructure Architect"

Job Description Summary
As a Staff AI Engineer, you will lead the architecture, development, and end-to-end lifecycle of our AI Agents and the underlying infrastructure that powers it. You will design and deploy AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will also own the full stack, from design and clean code implementation to rigorous testing and production support. By balancing high-level system strategy with hands-on technical execution, you will ensure our agentic workflows are scalable, secure, and seamlessly integrated into the enterprise ecosystem.

You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will delivery using Coding Agents, establish testing approaches for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and clear business impact. If you are excited by this work but unsure whether you meet every requirement, we encourage you to apply.

Job Description

Responsibilities:

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build AI-native application experiences
Build AI Agents, MCP Servers, Tools and integrate LLM / generative AI capabilities into products, including structured prompting, memory management and context management.
Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
Drive end-to-end execution of medium-to-large features with independence, contribute to technical direction within the team
Mentor engineers; guide contractors and partners.

Required Qualifications:

Bachelor's degree in computer science, Computer Engineering, or related technical field
6+ years of experience using at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript
Proven track record shipping production applications that incorporate LLMs, MCPs or AI services at scale
Demonstrated experience leading technical teams and providing guidance to external contractors or vendors
Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)
Experience with technical oversight, code review processes, and quality assurance methodologies

Preferred Qualifications:

Experience in Cloud Software Development, including architecture design, technical leadership, and system optimization
Experience with Strands, ADK or Agent development frameworks.
Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain)
Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
Experience with vector databases (e.g. pgvector) and embedding model optimization
Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
Experience building and scaling AI-powered features for 100k+ users

Additional Information

Relocation Assistance Provided: Yes

About GE Vernova

GE Vernova is helping change the world. Be part a team driven by purpose, fueled by challenge, and united in shaping the future of energy, every day.

Size: 10,000+ employees
Industry: Engineering

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Perks and Benefits

Health and Wellness
- Health Insurance
- Health Reimbursement Account (HRA)
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA with Employer Contribution
- HSA
- HSA with Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Birth Parent or Maternity Leave
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Vacation and Time Off
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Summer Fridays
Financial and Retirement
- 401(K)
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Profit Sharing
- 401(k) With Company Matching
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Lunch and Learns
- Leadership Training Program
- Internship Program
- Associate or Rotational Training Program
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Unconscious Bias Training