Senior AI Architect

Responsibilities

• Lead the architecture, design, development, and deployment of GenAI-enabled applications and services
• Design scalable, secure AI solutions across cloud and on-premises Kubernetes-based environments
• Evaluate technical architectures for retrieval-grounded GenAI, semantic search, and LLM workflows
• Develop backend services, APIs, and orchestration layers to integrate AI with operational data sources
• Drive engineering approaches for prompt design, grounding strategies, and observability
• Partner with domain experts and infrastructure teams to translate needs into production-ready solutions
• Provide technical leadership and strategic direction for departmental GenAI architecture

Requirements

• Ability to obtain and maintain a US DOE Q-level security clearance (requires U.S. Citizenship)
• Bachelor’s degree in computer science, engineering, or equivalent experience
• Significant experience architecting and deploying complex software systems and GenAI/LLM applications
• Advanced experience with containerized or Kubernetes-based platforms
• Proficiency in Python, Java, JavaScript, or TypeScript for backend development and RESTful APIs
• Advanced knowledge of GenAI design patterns including prompt engineering and retrieval strategies
• Strong technical leadership and communication skills

Preferred Qualifications

• Master’s degree in a computer or engineering field with an emphasis on ML or AI
• Experience with open-source AI frameworks and model-serving platforms
• Experience with vector-based search technologies
• Experience designing agentic integration patterns or MCP-enabled services
• Experience establishing AI engineering practices including CI/CD and observability

About the Company

Lawrence Livermore National Laboratory (LLNL) turns bold ideas into world-changing impact, advancing science and technology to strengthen U.S. security and promote global stability.