Senior Principal Intelligence Analyst, Agentic AI Integration

General Dynamics Information Technology•Arlington, VA
•$144,500 - $195,500•Onsite

About The Position

Iron EagleX, a wholly owned subsidiary of General Dynamics Information Technology, is seeking a Senior Principal Intelligence Analyst to support its AI team in Crystal City, Virginia. The role integrates AI-enabled tools and methods into intelligence analytic processes to improve the speed and quality of insights while ensuring their use is repeatable, responsible, and relevant to the mission. The analyst translates mission requirements into practical AI-enabled analytic approaches, supports adoption by analytic teams, and ensures outputs are validated, explainable, and aligned with intelligence tradecraft standards. The analyst works with analysts, data scientists, software developers, and AI engineers to apply AI solutions to analytic products addressing critical questions and requirements. The role supports analysis of large volumes of structured and unstructured data and helps technical teams refine tools to meet operational needs. It is onsite in Crystal City, VA, with travel to CONUS sites for 60–90 days per year. A current TS/SCI clearance is required, with a current or obtainable CI polygraph, and applicants must be U.S. citizens. The position is scheduled for 40 hours per week.

Requirements

  • Experience conducting all-source and multidiscipline intelligence analysis.
  • Understanding of intelligence tradecraft, analytic standards, sourcing, confidence levels, and structured analytic techniques.
  • Familiarity with Python for workflow automation in Jupyter notebooks, Streamlit, or similar technologies.
  • Familiarity with AI, machine learning, automation, data analytics, or natural language processing concepts.
  • Ability to evaluate AI-generated outputs for accuracy, relevance, bias, and mission applicability.
  • Experience working with large datasets, analytic platforms, knowledge repositories, or intelligence databases.
  • Strong writing, briefing, documentation, and stakeholder engagement skills.
  • Ability to translate technical concepts into practical guidance for non-technical analytic users.
  • 10 or more years of related experience.
  • Current TS/SCI clearance and current or willingness to obtain a CI polygraph.
  • U.S. citizenship.
  • Ability to work onsite in Crystal City, VA and travel to CONUS sites for 60–90 days each year.

Nice To Haves

  • Bachelor’s degree preferred.
  • Experience applying generative AI, large language models, prompt engineering, retrieval-augmented generation, semantic search, or automated data extraction to analytic workflows.
  • Experience with Python, SQL, Jupyter notebooks, graph/link-analysis tools, or other analytic platforms.
  • Familiarity with model evaluation and human-in-the-loop workflows.
  • Experience retrieving data and interacting with services through APIs.
  • Experience developing training, playbooks, SOPs, or adoption plans for new analytic tools.

Responsibilities

  • Integrate AI-enabled capabilities into intelligence analysis workflows to improve research, data discovery, pattern recognition, and reporting.
  • Help analysts use AI responsibly by validating outputs, evaluating sources, assessing confidence, and maintaining analytic rigor.
  • Collaborate with analysts, data scientists, engineers, and software developers to identify analytic pain points and design practical AI-assisted solutions.
  • Evaluate and test AI tools, prompts, workflows, and automation techniques for intelligence use cases.
  • Support repeatable analytic methodologies combining subject matter expertise with AI-generated insights.
  • Translate mission requirements into use cases for machine learning, natural language processing, entity extraction, knowledge management, link analysis, and data enrichment.
  • Develop guidance, standard operating procedures, and best practices for AI-assisted analytic workflows.
  • Support analytic production by applying AI-enabled techniques to large volumes of structured and unstructured data.
  • Collaborate with technical teams to refine tools and ensure capabilities meet operational requirements.

Benefits

  • Comprehensive benefits and wellness packages.
  • 401(k) with company match.
  • Competitive pay and paid time off.
  • Medical plan options, some with Health Savings Accounts.
  • Dental and vision plans.
  • Flexible work weeks where possible.
  • Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave.
  • Short- and long-term disability benefits.
  • Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
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