Senior AI Systems Architect - Careers at Leidos
Leidos
Senior AI Systems Architect - Careers at Leidos
Job Description
Join Leidos as Senior AI Systems Architect
Leidos Digital Modernization Sector's Chief Data & Analytics Office (CDAO) is hiring a visionary Senior AI Systems Architect for our high-growth Operational AI (Ops.AI) division. Enjoy full-time telework from any U.S. location while designing secure, scalable AI infrastructure for mission-critical solutions. Report to the Director of Operational AI and drive enterprise-wide trusted AI capabilities.
Key Responsibilities
- Architect enterprise-grade AI platforms supporting mission ops.
- Lead strategy for cloud services, containerization, MLOps pipelines.
- Enforce standards, governance for AI/ML consistency and quality.
- Collaborate across data scientists, engineers, managers.
- Ensure compliance, security, AI risk management.
- Evaluate emerging AI technologies.
- Mentor development teams on best practices.
Basic Qualifications
- Master's in CS/Engineering +15 years exp (or equivalent).
- Proven large-scale AI/ML on AWS/Azure/GCP.
- Expert MLOps, CI/CD, IaC.
- Strong AI cybersecurity knowledge.
- U.S. Citizen, clearance eligible.
Preferred Qualifications
- National security/defense experience.
- AWS/Azure certs, Kubernetes/Docker depth.
- FedRAMP/NIST/CMMC familiarity.
- Trusted AI frameworks.
Why Leidos?
Outthink, outbuild, outpace the status quo. Competitive salary $154,050-$278,475 USD. Posted Oct 10, 2025. U.S. positions open 3+ days.
Locations
- Remote, United States, United States (Remote)
Salary
154,050 - 278,475 USD / yearly
154,050 - 278,475 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML Systems Architectureintermediate
- Cloud Platforms (AWS, Azure, GCP)intermediate
- MLOps & CI/CD Pipelinesintermediate
- Infrastructure-as-Code (IaC)intermediate
- Containerization (Docker, Kubernetes)intermediate
- Cybersecurity for AI Systemsintermediate
- AI Risk Managementintermediate
Required Qualifications
- Master's degree in Computer Science, Engineering, or related field with 15+ years experience (experience)
- Experience architecting large-scale AI/ML systems on cloud platforms (experience)
- Expert in MLOps principles, CI/CD, and IaC (experience)
- Substantial cybersecurity knowledge for AI (experience)
- U.S. Citizen able to obtain security clearance (experience)
- Experience in national security/defense preferred (experience)
- Cloud architecture certifications (AWS/Azure Professional) (experience)
Responsibilities
- Design secure, scalable enterprise AI platforms for mission-critical ops
- Lead technical strategy for AI infrastructure including cloud, containers, MLOps
- Establish AI/ML standards, governance, and best practices
- Collaborate with data scientists, engineers, program managers
- Ensure compliance with AI lifecycle, risk management, security protocols
- Evaluate and recommend AI technologies/tools/frameworks
- Mentor teams on architectural patterns and implementation
Benefits
- general: Full-time telework from any U.S. location
- general: Competitive pay range $154K-$278K
- general: Hybrid/remote work flexibility
- general: Mission-driven innovation in defense/national security
- general: Growth in high-growth Chief Data & Analytics Office
- general: Professional development and mentorship opportunities
- general: Comprehensive Leidos benefits package
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Systems Architect - Careers at Leidos @ Leidos.
Related Books and Jobs
Senior AI Systems Architect - Careers at Leidos
Leidos
Senior AI Systems Architect - Careers at Leidos
Job Description
Join Leidos as Senior AI Systems Architect
Leidos Digital Modernization Sector's Chief Data & Analytics Office (CDAO) is hiring a visionary Senior AI Systems Architect for our high-growth Operational AI (Ops.AI) division. Enjoy full-time telework from any U.S. location while designing secure, scalable AI infrastructure for mission-critical solutions. Report to the Director of Operational AI and drive enterprise-wide trusted AI capabilities.
Key Responsibilities
- Architect enterprise-grade AI platforms supporting mission ops.
- Lead strategy for cloud services, containerization, MLOps pipelines.
- Enforce standards, governance for AI/ML consistency and quality.
- Collaborate across data scientists, engineers, managers.
- Ensure compliance, security, AI risk management.
- Evaluate emerging AI technologies.
- Mentor development teams on best practices.
Basic Qualifications
- Master's in CS/Engineering +15 years exp (or equivalent).
- Proven large-scale AI/ML on AWS/Azure/GCP.
- Expert MLOps, CI/CD, IaC.
- Strong AI cybersecurity knowledge.
- U.S. Citizen, clearance eligible.
Preferred Qualifications
- National security/defense experience.
- AWS/Azure certs, Kubernetes/Docker depth.
- FedRAMP/NIST/CMMC familiarity.
- Trusted AI frameworks.
Why Leidos?
Outthink, outbuild, outpace the status quo. Competitive salary $154,050-$278,475 USD. Posted Oct 10, 2025. U.S. positions open 3+ days.
Locations
- Remote, United States, United States (Remote)
Salary
154,050 - 278,475 USD / yearly
154,050 - 278,475 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML Systems Architectureintermediate
- Cloud Platforms (AWS, Azure, GCP)intermediate
- MLOps & CI/CD Pipelinesintermediate
- Infrastructure-as-Code (IaC)intermediate
- Containerization (Docker, Kubernetes)intermediate
- Cybersecurity for AI Systemsintermediate
- AI Risk Managementintermediate
Required Qualifications
- Master's degree in Computer Science, Engineering, or related field with 15+ years experience (experience)
- Experience architecting large-scale AI/ML systems on cloud platforms (experience)
- Expert in MLOps principles, CI/CD, and IaC (experience)
- Substantial cybersecurity knowledge for AI (experience)
- U.S. Citizen able to obtain security clearance (experience)
- Experience in national security/defense preferred (experience)
- Cloud architecture certifications (AWS/Azure Professional) (experience)
Responsibilities
- Design secure, scalable enterprise AI platforms for mission-critical ops
- Lead technical strategy for AI infrastructure including cloud, containers, MLOps
- Establish AI/ML standards, governance, and best practices
- Collaborate with data scientists, engineers, program managers
- Ensure compliance with AI lifecycle, risk management, security protocols
- Evaluate and recommend AI technologies/tools/frameworks
- Mentor teams on architectural patterns and implementation
Benefits
- general: Full-time telework from any U.S. location
- general: Competitive pay range $154K-$278K
- general: Hybrid/remote work flexibility
- general: Mission-driven innovation in defense/national security
- general: Growth in high-growth Chief Data & Analytics Office
- general: Professional development and mentorship opportunities
- general: Comprehensive Leidos benefits package
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Systems Architect - Careers at Leidos @ Leidos.
Related Books and Jobs