Senior AI Systems Architect jobs in United States
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Leidos · 3 months ago

Senior AI Systems Architect

Leidos is a leading technology company focused on digital modernization. They are seeking a Senior AI Systems Architect to design secure and scalable AI infrastructure that supports mission-critical solutions and drives responsible AI capabilities across the enterprise.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

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, to support enterprise-wide AI initiatives
Establish and enforce architectural standards, best practices, and governance for AI/ML systems to ensure consistency and quality
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 our AI capabilities and maintain our competitive edge
Provide expert guidance and mentorship to development teams on architectural patterns, implementation, and best practices

Qualification

AI/ML systems architectureCloud platforms AWSCloud platforms AzureCloud platforms GCPMLOps principlesCybersecurity principlesContainerization technologiesCloud architecture certificationsStakeholder collaborationTechnology evaluationCompliance & securityMentorship

Required

Master's degree in Computer Science, Engineering, or a related technical field with 15+ years of professional experience; additional years of experience may be substituted in lieu of a degree
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

Preferred

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

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2025-02-20Post Ipo Debt
2013-09-17IPO

Leadership Team

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James Carlini
Chief Technology Officer
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Theodore Tanner
Chief Technology Officer
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Company data provided by crunchbase