Lawrence Livermore National Laboratory (LLNL) is hiring an AI (Artificial Intelligence) Infrastructure Architect

We have an opening for an AI (Artificial Intelligence) Infrastructure Architect to design, implement, and support Enterprise AI initiatives that support the Laboratory. You will work as part of a small, collaborative team responsible for AI infrastructure focused initiatives that will benefit LivIT and the entire Lab. You will collaborate with AI Engineers, Developers, IT Infrastructure and leadership across LivIT and our programmatic customers to drive strategic AI efforts that support innovative needs and operational efficiencies. This position offers the opportunity to work in a dynamic and highly technical environment, supporting critical infrastructure for enterprise-level applications. This position is in the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate and in support of the LivIT Systems Networks & Technologies Program Area. This position will be filled at either the SES.3 or SES.4 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. You will - Analyze operational inefficiencies and propose AI-driven solutions. - Leverage expertise in automation to optimize workflows, monitoring, and configuration management for AI frameworks, tools, and platforms. - Develop robust AI pipelines and infrastructure that align with organizational goals and business requirements. - Ensure AI related infrastructure efforts comply with security policy, collaborating with our Cyber Security Program. - Evaluate and integrate emerging AI technologies and tools in support of infrastructure initiatives, such as MLOps platforms, model optimization frameworks, and other AI services, to enhance infrastructure capabilities. - Monitor and analyze AI infrastructure performance, identify bottlenecks, and implement solutions to ensure scalability, reliability, and cost efficiency. - Perform other duties as assigned. Additional responsibilities at the at the SES.4 Level - Oversee and lead the lifecycle of AI systems architectures, including requirements gathering, capacity planning, design, development, testing, documentation, implementation, upgrades, and performance optimization. - Serve as a mentor to and share knowledge with team members to enhance AI skills and abilities across the organization.