Sr. AI Infrastructure Engineer

Leidos

76d • $126,100 - $227,950

About The Position

The Leidos Chief Data & Analytics Office (CDAO) is a new, high-growth organization at the center of the company's technology strategy. Our Operational AI (Ops.AI) division is seeking an experienced and visionary Senior AI Infrastructure Engineer to join our team. This role is essential for designing the secure, scalable, and trusted AI infrastructure that underpins our mission-critical solutions. This is an exciting opportunity to leverage your experience to empower Leidos with responsible AI capabilities that accelerate innovation and improve mission outcomes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field with 12+ years of professional experience; additional years of experience may be substituted in lieu of a degree.
• Strong, hands-on experience with cloud services (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• Expert-level understanding of MLOps principles, CI/CD pipelines, and infrastructure-as-code (IaC).
• Proficiency in scripting languages such as Python or Bash.
• Substantial understanding of cybersecurity principles as they apply to AI systems.
• Must be a U.S. Citizen and able to obtain and maintain a security clearance.

Nice To Haves

• Experience deploying and managing AI/ML platforms (e.g., Kubeflow, MLflow, Sagemaker).
• Deep experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• DevOps or Cloud certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
• Professional certifications in cloud architecture (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert).
• Experience with GPU-accelerated computing.
• Experience with trusted AI frameworks and AI risk management.
• Familiarity with defense and federal compliance standards such as DoD IL, FedRAMP, NIST, or CMMC.

Responsibilities

• Serve as the lead for developing and deploying AI platforms at scale across the enterprise.
• Construct and maintain the high-performance, scalable infrastructure that data scientists and AI/ML engineers rely on.
• Build and maintain scalable, reliable, and secure AI infrastructure using modern cloud and on-premise technologies.
• Implement and manage AI/MLOps tools and CI/CD pipelines for AI model usage, training, deployment, and monitoring.
• Ensure the high availability, reliability, and performance of all AI platforms and systems.
• Collaborate with data scientists, engineers, and program managers to ensure architectural designs meet project requirements and strategic objectives.
• Ensure mission assurance and full compliance with AI lifecycle management frameworks, including AI risk management and security protocols.
• Evaluate and recommend new technologies, tools, and frameworks to enhance AI capabilities and maintain competitive edge.
• Provide expert guidance and mentorship to development teams on architectural patterns, implementation, and best practices.

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees