Leidos

Compensation

Full Description

Description: • 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 • 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 Requirements: • Master's degree in Computer Science, Engineering, or a related technical field • 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 Benefits: • competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement