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Intermediate Artificial Intelligence Analyst
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-07-13
Listing for:
Chenega MIOS SBU
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
AI Business & Operations, AI Engineer (Applied/Software), AI Evaluation, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Intermediate Artificial Intelligence (AI) Analyst – Arlington, VA
Chenega Military, Intelligence & Operations Support (MIOS) supports large-scale government operations by leveraging cutting‑edge technology. This role provides scientific, engineering, and technical expertise in AI 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 agency, and university technologies and recommend adoption.
- Support the integration of emerging AI technologies and evolving army materiel requirements into the AI baseline.
- Maintain technical liaison with government offices, contractors, and academic institutions in the AI domain.
- Support 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 creating and delivering high‑quality briefing materials and tracking action items.
- Perform 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 the Machine Learning (ML) lifecycle.
USD $ – $ per year.
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