AI (Artificial Intelligence) Infrastructure Architect

Experteer Overview In this role you will architect, implement, and support enterprise AI initiatives to advance LLNL's mission. You'll collaborate with AI engineers, IT and leadership to drive AI-driven improvements in workflows and infrastructure. You will build scalable AI pipelines, ensure security alignment, and evaluate emerging AI tech to expand capabilities. The position blends hands-on implementation with strategic planning in a dynamic, highly technical environment. This opportunity offers impact at scale within a national laboratory setting. Compensation / Benefits * Analyze operational inefficiencies and propose AI-driven solutions * Leverage automation to optimize workflows, monitoring, and configuration management for AI frameworks and platforms * Develop robust AI pipelines and infrastructure aligned with goals and business requirements * Ensure AI infrastructure complies with security policies in collaboration with Cyber Security * Evaluate and integrate emerging AI technologies and tools to enhance infrastructure capabilities * Monitor AI infrastructure performance, identify bottlenecks, and implement scalable, reliable, cost-efficient solutions * Oversee lifecycle of AI systems architectures (SES.4 level) including requirements, design, testing, deployment, upgrades, and performance optimization * Mentor team members to enhance AI skills across the organization Tasks * US DOE Q-level security clearance (US citizenship required) * Bachelor in Computer Science, Software Engineering, MIS, or related field * Significant Python, R, or similar AI-focused programming experience with automation scripting * Advanced NLP tools and techniques with SpaCy, NLTK, or Hugging Face * Hands-on experience with at least three AI/GenAI tools/frameworks (e.g., OpenAI, Anthropic, Co-Pilot, TensorFlow, PyTorch, Bedrock, Hugging Face, RAG) * Experience with at least two automation/IaC tools (e.g., Ansible, Terraform, Kubernetes, Puppet, Jenkins) * Systems programming experience for containerized, cloud-based, secure web applications * Strong collaboration with cross-functional teams and effective communication Key requirements * Flexible Benefits Package * 401(k) * Relocation Assistance * Education Reimbursement Program * Flexible schedules * Hybrid work option

architect, and tools to enhance infrastructure capabilities * Monitor AI infrastructure performance, identify bottlenecks, and implement scalable, reliable, cost-efficient solutions * Oversee lifecycle of AI systems architectures (SES.4 level) including requirements, design, testing, deployment, upgrades, and performance optimization * Mentor team members to enhance AI skills across the organization Tasks * US DOE Q-level security clearance (US citizenship required) * Bachelor in Computer Science, Software Engineering, MIS, or related field * Significant Python, R, or similar AI-focused programming experience with automation scripting * Advanced NLP tools and techniques with SpaCy, NLTK, or Hugging Face * Hands-on experience with at least three AI/GenAI tools/frameworks (e.g., OpenAI, Anthropic, Co-Pilot, TensorFlow, PyTorch, Bedrock, Hugging Face, RAG) * Experience with at least two automation/IaC tools (e.g., Ansible, Terraform, Kubernetes, Puppet, Jenkins) * Systems programming aaaaaaaa

• for containerized, cloud-based, secure web applications * Strong collaboration with cross-functional teams and effective communication Key requirements * Flexible Benefits Package * 401(k) * Relocation Assistance * Education Reimbursement Program * Flexible schedules * Hybrid work option