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AI Solution Architect

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Parsons
Full Time position
Listed on 2026-01-20
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity, AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

Job Description

Parsons is looking for an amazingly talented AI Solutions Architect to join our team! In this role you will be an SME technical leader who architects and delivers mission‑critical defense solutions.

What You’ll Be Doing
  • Collaborate across the Defensive Cyber Operations (DCO) Program Management Office (PMO) and the Program Executive Office (PEO) Joint Cyber Warfare (JCW) to align vision, strategy, and implementation of DCO enterprise AI solutions.
  • Coordinate and collaborate with Offensive Cyber Operations (OCO), Enterprise PMOs and external Joint directorates on opinionated design decisions to gain buy‑in and trust with the user community.
  • Collaborate with DCO PMO Release Train Engineer (RTE) and Solution Train Engineer (STE) cadences to define and refine Features and Capabilities, contributing to the Solution Intent, Vision, and Roadmap for Defensive Cyber Operations AI efforts.
  • Continuously evaluate emerging technologies and best‑in‑class industry tools.
  • Participate in PI Planning, System Demos, and Inspect & Adapt workshops to ensure alignment, manage dependencies, and foster collaboration across Agile Release Trains (ARTs) and Solution Trains.
  • Analyze user needs and Value Stream mapping to identify Features and Capabilities.
  • Understand DoD acquisition processes with an emphasis on the Software Acquisition Pathway (SWP) as a core competency that shapes technology choices.
  • Collaborate with PMO leadership to define GenAI objectives, ensuring alignment with Program Increment (PI) Objectives and the overall roadmap.
  • Derive from the system requirements an understanding of stakeholder needs, functions that may be logically inferred and implied as essential to system effectiveness.
  • Derive lower‑level requirements from higher‑level allocated requirements that describe in detail the functions a system component must fulfill, ensuring these requirements are complete, correct, unique, unambiguous, realizable, and verifiable.
  • Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project.
  • Lead technical strategy for major CYBERCOM initiatives.
  • Drive innovation while ensuring compliance with DOD standards.
  • Mentor and develop next‑generation technical leaders.
  • Provide executive‑level architectural guidance and oversight.
Leadership Requirements
  • Experience leading cross‑functional teams of 20+ personnel.
  • Previous Program Management and/or Technical Director core skills.
  • Track record of communicating and advising senior military and civilian leadership.
  • Demonstrated ability to drive organizational change.
Core Technical Requirements
  • No

    SQL data basing, Gitlab/Github, Kafka, RESTful APIs or OpenAPI/Swagger.
  • Strong experience with modern software development languages and frameworks (Python, Java, .NET, React, Angular, Node.js).
  • Hands‑on expertise with microservices architecture and container orchestration (Docker, Kubernetes, Terraform, Ansible).
  • Familiarity with multiple cloud environments (AWS, Azure, GCP).
  • Expert knowledge of Dev Sec Ops  practices within classified environments.
  • Mastery of Architecture design, requirements analysis, developing risk mitigation plans, and creating design/system documentation.
  • Hands‑on experience deploying Generative Artificial Intelligence solutions at scale for enterprise users.
  • Advanced proficiency in secure software development practices.
Required Qualifications
  • Master's degree in Computer Engineering or related technical field with 15+ years of experience, or 20+ years of experience with a Bachelor’s degree.
  • Active TS clearance with polygraph.
  • Experience working within the SAFe Agile framework.
  • Expert‑level knowledge in DOD cyber operations and/or defense…
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