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Intermediate Artificial Intelligence Analyst
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-06-25
Listing for:
Chenega Agile Real Time Solutions, LLC
Full Time
position Listed on 2026-06-25
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Artificial Intelligence, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Job Summary
Intermediate Artificial Intelligence (AI) Analyst – Arlington, VA. The AI Analyst provides scientific, engineering, and technical expertise in AI specialty areas to support Army technology initiatives.
Responsibilities- Support the Artificial Intelligence (AI) Users in the Army Intelligence Enterprise
- Provide hands on model development, analysis and verification support based on use cases.
- Review emerging and advanced AI projects for applicability to Army Intelligence AI.
- Evaluate industry, outside agencies, and university technologies for applicability to Army Intelligence AI and recommend adoption, appropriate.
- Support the Integration of emerging AI technological advances and evolving Army materiel requirements into the AI baseline.
- Support continuing technical liaison with Government offices, contractors, and academic institutions in the AI technical domain.
- Provide support for studies, technology evaluations, and the development, review, and maintenance of policy, technical, and doctrinal documentation, repositories, and databases.
- Participate in conferences, briefings, meetings, working groups, and teams, including the creation and delivery of high-quality briefing materials and tracking of action items.
- Other duties as assigned.
- Bachelor’s of Science in a Science, Technology, Engineering, or Math field and 7+ years of experience OR
- Master’s of Science in a Science, Technology, Engineering, or Math field and 5+ years of experience
- Active TS/SCI clearance required
- Demonstrated Hands on AI capabilities in Claude, Gemini, or similar model
- Demonstrated knowledge of AI, including feasibility analysis and performance requirements
- Deep understanding of Machine Learning (ML) lifecycle
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