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AI Engineering Architect

Job in Richmond, Henrico County, Virginia, 23234, USA
Listing for: General Dynamics Information Technology, Inc.
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Secret Clearance Level Must Be Able to Obtain:

Data Science and Data Engineering

Job Qualifications:

AI Architecture, AI Systems, Cloud Development, Innovation, Taking Initiative

Certifications:

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI Engineer/Architect, you’ll see the bigger picture on mission initiatives and where your program management career can go at GDIT.

MEANINGFUL WORK AND PERSONAL IMPACT

As an AI Engineer/Architect, the work you’ll do at GDIT will be impactful to the missions that matter. You will play a crucial role in advancing the integration of automation and AI into the battlespace:

  • Lead the design, architecture, and product roadmap of next-gen AI/ML and LLM solutions for customers
  • Showcase solutions thru customer facing exercises, demos and pace-setting projects
  • Bring innovation to programs by partnering with on-program teams to deliver AI/ML solutions
The AI Engineer/Architect must have:
  • Proven experience in growing AI projects from proof of concept to production, in one or more functional areas of edge AI and sensing, autonomous systems, intelligence analysis, contested logistics and training & readiness
  • proven ability to engage stakeholders, identify new opportunities, and drive outcome-based value of AI/ML or LLM solutions.
  • Willingness to travel (up to 25%) and work on-site at GDIT facilities as needed.
  • Experience with multi-tenant, distributed systems, and cloud-native architecture patterns
  • Security clearance level:
    Secret clearance required to start with the ability to obtain & maintain a Top Secret
  • Location:

    Remote
  • Master of Science or PhD in related fields
  • Cloud experience with AWS, Azure, etc.
  • Programming experience with JAVA, RUST, Python or similar languages
  • Experience with building and training classification and prediction models; leveraging large language models and agentic workflows
Growth: AI-powered career tool that identifies career steps and learning opportunities
  • An internal mobility team focused on helping you achieve your career goals
  • Community:
    Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
40

Travel Required:

25-50% Telecommuting Options:
Remote

Work Location:

Any Location / Remote Additional Work Locations:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.

GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to…

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