Senior AI Systems Architect

Leidos

94d • $148,850 - $269,075

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 Systems Architect 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

• Master's degree in Computer Science, Engineering, or a related technical field with 15+ years of professional experience.
• Demonstrated experience architecting and deploying large-scale AI/ML systems on cloud platforms (e.g., AWS, Azure, GCP).
• Expert-level understanding of MLOps principles, CI/CD pipelines, and infrastructure-as-code (IaC).
• 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 in the future.

Nice To Haves

• Experience working within the national security, defense, or intelligence communities.
• Professional certifications in cloud architecture (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert).
• Deep experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with defense and federal compliance standards such as DoD IL, FedRAMP, NIST, or CMMC.
• Experience with trusted AI frameworks and AI risk management.

Responsibilities

• Serve as the technical cornerstone for our AI platforms, acting as a key leader within the Ops.AI division.
• Set the technical vision for our AI ecosystem, translating strategic goals into robust architectural blueprints.
• Ensure our systems meet the highest standards of security, compliance, and performance.
• Design and oversee the development of enterprise-grade, secure, and scalable AI platforms capable of supporting mission-critical operations.
• Lead the technical strategy for AI infrastructure, including cloud services, containerization, and MLOps pipelines.
• Establish and enforce architectural standards, best practices, and governance for AI/ML 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.
• Evaluate and recommend new technologies, tools, and frameworks to enhance our AI capabilities.
• 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: Master's degree
• Number of Employees: 11-50 employees