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.

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.

Senior AI Systems Architect

Key skills