AI Engineer/Architect
- Where you can work from
- Remote — United States onlyUnited States
- Salary
- USD 149K–201K / year
- Job type
- Full-time
- Experience
- Senior
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Job description
Type of Requisition
Clearance Level Must Currently Possess
Clearance Level Must Be Able to Obtain
Public Trust/Other Required
Job Family
Job Qualifications
Skills
Certifications
Experience
US Citizenship Required
Job Description
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
● Collaborate with business development and capture teams to support bids, proposals and OTA efforts
● Bring innovation to programs by partnering with on-program teams to deliver AI/ML solutions
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The AI Engineer/Architect must have:
● Education: BA/BS or equivalent.
- Experience: 10+ years of related experience
- 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
- Excellent consultative selling skills; proven ability to engage stakeholders, identify new opportunities, and drive outcome-based value of AI/ML or LLM solutions.
- Strong communication and leadership skills; ability to distill complex requirements into actionable deliverables and guide multidisciplinary teams.
- Willingness to travel (up to 25%) and work on-site at GDIT facilities as needed.
● Experience supporting U.S. Department of War (DOW) programs - 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
● US citizenship required
● Location: Remote
Preferred Qualifications
- 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
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
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.
The likely salary range for this position is $149,469 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours
Travel Required
Telecommuting Options
Work Location
Additional Work Locations
Total Rewards at GDIT
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About Our Work
gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransOriginally posted on Himalayas
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Job availability & source
Still listed on the employer's own board at our last check, 17 hours ago
This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.
- Source
- Himalayas
- Posted by the employer
- 14 Oct 2026
- First seen by us
- 14 Oct 2026
- Last checked
- 25 Oct 2026
via Himalayas — view on source
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