Intermediate Artificial Intelligence (AI) Analyst

Chenega Corporation

Arlington (TX)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

A leading government support firm is seeking an Intermediate Artificial Intelligence (AI) Analyst in Arlington, VA. The role involves analyzing AI documentation and conducting advanced research for Army technology initiatives. Candidates should have a relevant degree (Bachelor's, Master's, or PhD) and substantial experience (5-15 years). Active TS/SCI clearance is mandatory. If you thrive in a technical environment and aim to enhance your career in AI, this position offers an exciting opportunity for growth.

Qualifications

  • 15+ years of experience with a Bachelor's degree in a STEM field.
  • 10+ years of experience with a Master's degree in a STEM field.
  • 5+ years of experience with a PhD in a STEM field.
  • Active TS/SCI clearance required.

Responsibilities

  • Analyze and generate AI documentation for government review.
  • Conduct research for advanced AI projects.
  • Evaluate technologies suitable for Army Intelligence AI.
  • Develop AI and data system requirements.

Skills

AI knowledge
Machine Learning lifecycle understanding

Education

Bachelor’s of Science in a STEM field
Master’s of Science in a STEM field
PhD in a STEM field

Tools

AWS Certification

Job description

Intermediate Artificial Intelligence (AI) Analyst

Arlington, VA

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Chenega Military, Intelligence & Operations Support (MIOS) supports large‑scale government operations by leveraging cutting‑edge technology. We are looking for an experienced AI Analyst to support Army technology initiatives.

Responsibilities
  • Analyze, evaluate, revise, and/or generate draft artificial intelligence documentation for government review and approval, including policy documents, letters of agreement, memoranda of understanding, Mission Needs Statements, Concepts of Operation (ConOps), Operational Requirements Documents, system specifications, Test and Evaluation Master Plans, and training documentation.
  • Conduct research activities for exploratory and advanced AI projects to advance technological capabilities.
  • Evaluate industry, outside agencies, and university technologies for applicability to Army Intelligence AI and adopt technologies as appropriate.
  • Develop and evaluate AI and data system requirements to determine technical feasibility and functional adequacy for current and future systems.
  • Have a clear understanding of the MLOps pipeline to support an end‑to‑end workflow that manages the entire lifecycle of machine learning models—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
  • Integrate emerging technological advances and evolving Army materiel requirements into the execution of technical tasks.
  • Maintain direct and continuing technical liaison with government offices, laboratories, 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.
  • Support the planning, management, and execution of representative systems and associated technical activities.
  • 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.
Qualifications
  • Bachelor’s of Science in a STEM field and 15+ years of experience
  • Master’s of Science in a STEM field and 10+ years of experience
  • PhD in a STEM field and 5+ years of experience
  • Active TS/SCI clearance required
Preferred Qualifications
  • AWS Certified AI Practitioner or comparable certification
Knowledge, Skills, and Abilities
  • Demonstrated knowledge of AI, including feasibility analysis and performance requirements
  • Deep understanding of Machine Learning (ML) lifecycle
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