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Principal AI​/ML Solution Architect – Agentic Platforms

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Leidos
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Principal AI/ML Solution Architect – Intelligent Agentic Platforms

Description

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.

Position Overview

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.

Primary 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, Dev Sec Ops , 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
Required Skills and Experience
  • 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
  • Secret security clearance
  • U.S. Citizenship required
Preferred Qualifications
  • 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), Dev Sec Ops , RPA, and data visualization platforms
  • Experience with data governance and metadata management platforms (e.g., Open Metadata)
  • 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)
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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