AI Infrastructure Architect at Lawrence Livermore National Laboratory - ScoutJobs - The AI-curated global job board
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Lawrence Livermore National Laboratory
Posted 6 hours ago

AI Infrastructure Architect

Lawrence Livermore National Laboratory

Requirements

US DOE Q-level security clearance eligibility, Bachelor's degree in Computer Science or related field, Proficiency in Python or R, Experience with NLP tools, Experience with AI/GenAI frameworks, Experience with IaC or automation tools

Skills

PythonKubernetesTerraformPyTorchMLOps

About the role

Responsibilities

  • Analyze operational inefficiencies and propose AI-driven solutions
  • Leverage automation to optimize workflows, monitoring, and configuration management for AI frameworks
  • Develop robust AI pipelines and infrastructure aligned with organizational goals
  • Ensure AI infrastructure complies with security policy in collaboration with Cyber Security
  • Evaluate and integrate emerging AI technologies such as MLOps platforms and model optimization frameworks
  • Monitor AI infrastructure performance to ensure scalability, reliability, and cost efficiency
  • Oversee the lifecycle of AI systems architectures including capacity planning and design (SES.4 level)
  • Mentor team members to enhance AI skills across the organization (SES.4 level)

Requirements

  • Ability to obtain and maintain a US DOE Q-level security clearance (requires U.S. Citizenship)
  • Bachelor’s degree in Computer Science, Software Engineering, MIS, or related field
  • Significant experience in Python, R, or other AI development programming languages
  • Advanced experience with NLP tools and libraries such as SpaCy, NLTK, or Hugging Face
  • Hands-on experience with at least three AI/GenAI tools (e.g., OpenAI, TensorFlow, PyTorch, RAG)
  • Significant experience with at least two automation or IaC platforms (e.g., Ansible, Terraform, Kubernetes)
  • Extensive experience in systems programming for cloud services, containers, and COTS infrastructures
  • Proven ability to collaborate with IT teams, developers, and security professionals
  • Advanced verbal and written communication skills

Preferred Qualifications

  • Expert knowledge of Infrastructure-As-Code (IaC) and CI/CD workflow pipelines
  • Expert knowledge of APIs, microservices, and cloud platforms (AWS, Azure, Google Cloud)
  • Highly advanced knowledge of IT Infrastructure including networks and servers
  • Significant hands-on experience building and managing data lakes

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.

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AI Infrastructure Architect

Lawrence Livermore National Laboratory · Livermore

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