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Leidos · 7 hours ago

Solution Architect – AI & Cyber Innovation

Chantilly, VA

Full-time

Onsite

Senior Level, Lead/Staff

$108K/yr - $195K/yr

8+ years exp

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a Solutions Architect to shape the technical vision and strategy for their Mission Solutions team, focusing on integrating intelligent automation, cyber, and AI/ML-driven analytics to drive mission success. The role involves designing innovative technical solutions, collaborating with various teams, and influencing stakeholders at all levels.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

AI/ML IntegrationCybersecuritySystems EngineeringTechnical Proposal WritingCloud MigrationDigital ModernizationModelingSimulationTechnical StorytellingCommunicationCollaboration

Required

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

Strong technical understanding of AI/ML concepts, autonomous/Agentic 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