Principal AI/ML Solution Architect – Intelligent Agentic Platforms

Leidos

About The Position

At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms enable teams to automate business processes and gain insight through intent-driven and agent-based systems, guided by an "everything as code" philosophy. The Principal AI/ML Solution Architect is a visionary technical leader who architects enterprise-scale AI/ML solutions, designs agent-based systems, and leads 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.

Requirements

MS degree in Computer Science, Data Science, AI/ML, or related field with 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 (AWS, Azure)
Proven experience with AI governance, Responsible AI, and compliance frameworks
Experience delivering solutions in secure, regulated government environments (e.g., CMS, SSA, DoD, FDA)
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 Haves

Experience building agent-based or autonomous systems in production
Familiarity with AI orchestration frameworks (e.g., multi-agent systems, AIOps)
Background in legacy system modernization (e.g., COBOL to Java/Python), DevSecOps, RPA, and data visualization platforms
Experience with data governance and metadata management platforms (e.g., OpenMetadata)
Proven P&L management and experience leading large technical teams (50+)
PMP, ITIL, AWS, SAFe, or OCP certifications
Published thought leadership (whitepapers, conference presentations, keynote speaking)
Passion for applying AI and automation to real-world mission challenges
Experience with "as code" approaches (policy-as-code, workflows-as-code, documentation-as-code)

Responsibilities

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 (e.g., Responsible AI, Trusted AI) ensuring compliance with regulations (OMB M-24-10, EO 14110)
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 (RFP/RFI), and conduct AoA/PoCs on emerging technologies
Promote "as code" patterns for infrastructure, automation, agent behavior, and compliance artifacts