Leidos is hiring a Principal AI/ML Solution Architect – Intelligent Agentic Platforms to serve as a visionary technical leader. You will architect enterprise-scale AI/ML solutions, design agent-based systems, and lead digital modernization initiatives—ensuring software, infrastructure, data governance, and security are integrated into a cohesive, compliant development lifecycle. This role bridges executive stakeholders, mission requirements, and engineering execution.

What You'll Do

Architect and lead development of enterprise-scale AI/ML platforms, intelligent agents, and data-driven solutions for government and commercial customers.
Define the technical vision, strategy, and roadmap for AI/ML, Agentic AI, Generative AI, and advanced analytics across programs.
Build and evolve intelligent agents and AI-enabled services using LLMs, automation frameworks, and multi-agent orchestration patterns.
Lead AI factory-based frameworks with reusable components for scalable offerings.
Partner with C-level executives, CTOs, and business leaders to align solutions with mission needs.
Drive adoption of Infrastructure as Code, DevSecOps, CI/CD pipelines, and ‘controls-as-code’ practices.
Establish AI governance frameworks ensuring compliance with regulations.
Design and deploy trusted ML models and advanced analytics/visualization solutions.
Collaborate with systems engineers and ISSEs to embed security into platform design.
Mentor senior and mid-level engineers through architecture and code reviews.
Support ATO processes, business development, and conduct analyses/proofs-of-concept on emerging technologies.
Promote ‘as code’ patterns for infrastructure, automation, agent behavior, and compliance artifacts.

What We're Looking For

MS degree in Computer Science, Data Science, AI/ML, or related field.
15+ years of experience in solution architecture and AI/ML.
Demonstrated Principal Architect or CTO-level leadership in large-scale enterprise environments.
Deep expertise in AI/ML systems including LLM integration, Generative AI, Agentic AI, and cloud-native architectures.
Proven experience with AI governance, Responsible AI, and compliance frameworks.
Experience delivering solutions in secure, regulated government environments.
Ability to bridge software development, systems engineering, data science, and security disciplines.
Strong executive-level communication, presentation, and stakeholder management skills.
Experience supporting business development and strategic technology roadmaps.
Must have and maintain a Secret security clearance.
U.S. Citizenship required.

Nice to Have

Experience building agent-based or autonomous systems in production.
Familiarity with AI orchestration frameworks.
Background in legacy system modernization, DevSecOps, RPA, and data visualization platforms.
Experience with data governance and metadata management platforms.
Proven P&L management and experience leading large technical teams of 50+.
PMP, ITIL, AWS, SAFe, or OCP certifications.
Published thought leadership.
Passion for applying AI and automation to real-world mission challenges.
Experience with ‘as code’ approaches.