Solution Architect - AI & Cyber Innovation

Love solving tough problems? Architect the answers.

Leidos has an immediate opening for a Solutions Architect to join our Mission Solutions team within the National Security Sector. In this role, you will help shape the technical vision and strategy that drives innovation and mission success for our Intelligence Community, DoD, and mission partners. You will design and articulate solutions that integrate intelligent automation, full-spectrum cyber, systems engineering, AI/ML-driven analytics, modeling and simulations, and secure supply chain logistics capabilities. This role requires a deep understanding of the Intelligence Community landscape.

As a key member of the CTO team, you'll be a technical storyteller and strategist-someone who can both craft the vision and write the words that turn your technical depth into strategic influence.
If you are a creative, systems-level thinker who thrives at the intersection of technology, innovation, and national security-this is your opportunity to make an impact.
The position will report to the CTO for the Mission Solutions Business Area.

Primary Responsibilities
List daily duties and/or specific job responsibilities.
Design and Lead Technical Solutions: Develop innovative, mission-aligned technical approaches that integrate cutting-edge technologies to address customer challenges. Use your technical insight to translate complex mission requirements into innovative, winning solutions.
Drive Capture and Proposal Success: Partner with capture and business development teams to author technical volumes, whitepapers, and responses to RFPs/RFIs-translating technical innovation into clear, compelling customer value. Conduct thorough requirements analysis and translate customer needs into actionable technical specifications.
Integrate Emerging Technologies: Evaluate and insert next-generation capabilities-such as autonomous decision agents, AI orchestration, and resilient cyber frameworks-into proposals and ongoing programs. Architect solutions that answer real mission challenges using AI, Cyber, and emerging tech.
Influence and Communicate: Present and defend solutions at both executive and technical levels-demonstrating how technology investments deliver mission value.
Drive Innovation: Identify, evaluate, and insert emerging technologies into proposals and programs, enhancing our delivery across domains such as cybersecurity, AI/ML, and digital engineering.
Collaborate Across Domains: Partner with technical SMEs, program teams, and leadership to define roadmaps that improve enterprise capabilities and enable mission success. Work with the program teams, Business Area leadership, and CTO organization to identify technology and solution roadmaps to improve mission enterprise capabilities and broaden Leidos contributions in technical leadership resulting in increased contract growth and improved customer satisfaction.

Primary Focus Areas
Intelligent Automation and AI/ML Integration
Cybersecurity and Cyber Resilience
Systems and Enterprise Engineering
Modeling, Simulation, and Digital Engineering
Secure Supply Chain and Logistics Solutions

Basic Qualifications
Bachelor's degree with 8+ years of experience in a STEM related discipline. Additional years experience may be used in lieu of a degree.
Technical expertise in one or more mission-critical domains-AI, Cyber, Quantum, Software Engineering, Digital Modernization, Cloud Migration, or Mission Operations with proven ability to apply it to shape the future of technology.
Experience articulating complex technical concepts to customers, business development, program delivery, technical teams, and executives, both orally and in writing
Proven experience writing or leading technical proposals, whitepapers, or capture artifacts as a solution architect and/or technical volume lead
Excellent communication skills-capable of conveying complex technical ideas clearly to both customers and technical teams
U.S. Citizen with active TS/SCI and Polygraph

Preferred Qualifications
Technical expertise in one or more mission-critical domains-AI, Cyber, Quantum, Software Engineering, Digital Modernization, Cloud Migration, or Mission Operations with proven ability to apply it to shape the future of technology.
Strong technical understanding of AI/ML concepts, autonomoAgentic AI, cloud migration/architectures, digital modernization, and cybersecurity technologies
Ideal candidates will have a strong grasp of AI and Machine Learning concepts, including emerging Agentic AI frameworks, Deep Learning, and advanced intelligent systems.
Awareness of leading technology capability providers that enhance our technical solutions
Experience advising application teams on migrating legacy systems to cloud-based solutions such as AWS, Azure or Oracle Cloud Infrastructure
Knowledge of emerging AI governance, ethical AI, and secure development frameworks
Demonstrated success in technical capture, white paper development, or proposal support
Ability to conduct technical research into new technologies, evidence gathering to help shape solutions.

Why Leidos
Join Leidos and help define the future of mission technology. You'll collaborate with forward-thinking experts, apply emerging AI and cyber capabilities, and shape the solutions that enable tomorrow's national security missions.

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

Original Posting:
December 22, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.