
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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Lawrence Livermore National Laboratory · Livermore
