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Senior Principal Intelligence Analyst, Agentic AI Integration

Listing for: General Dynamics Information Technology, Inc.
Full Time position Listed on 2026-11-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR

Job Description & How to Apply Below

YOUR IMPACT

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department ofWar’s mission to keep our country safe and secure.

OUR COMPANY

IronEagleX(IEX), a wholly owned subsidiary of General Dynamics Information Technology(GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users tooperatesmarter, faster, and more securely in dynamic environments.

JOB DESCRIPTION

Iron Eagle Xis  seeking aSenior Principal Intelligence Analyst, Agentic AI Integration to support our AI team in Crystal City, VA.This role will infuse AI-enabled tools and methods into analytic processes to accelerate and improve insights in arepeatable,responsible,and mission-relevant manner.

This position requires the ability to translate mission requirements into practical AI-enabled analytic approaches, support adoption across analytic teams, and ensure that AI outputs are validated, explainable, and aligned with established intelligence tradecraft standards.

MEANINGFUL WORK AND PERSONAL IMPACT

As aSenior Principal Intelligence  Analyst, Agentic AI Integration, you willwork with analysts, data scientists, software developers, and AI engineers toleveragecutting-edgeAI solutions to deliver data analytic products to answer critical questions and requirements.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
  • Integrate AI-enabled capabilities into intelligence analysis workflows to improve research, data discovery, pattern recognition, and reporting.
  • Assist analysts in using AI capabilities responsibly, including validation of outputs, source evaluation, confidence assessment, and analytic rigor.
  • Work with analysts, data scientists, engineers, and software developers toidentifyanalytic pain points and design practical AI-assisted solutions.
  • Evaluateandtest AI tools, prompts, workflows, and automation techniques for intelligence use cases.
  • Support development of repeatable analytic methodologies that combine subject matterexpertisewith 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 refineand improve tools and ensure capabilities meet operational requirements.
REQUIRED SKILLS
  • Experience conducting all-source and multi-discipline intelligence analysis.
  • Understanding of intelligence tradecraft, analytic standards, sourcing, confidence levels, and structured analytic techniques.
  • Familiarity withusing

    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.
DESIRED SKILLS
  • Experience applying generative AI, LLMs, prompt engineering, retrieval-augmented generation (RAG), semantic search, and/or automated data extraction to analytic workflows.
  • Experience with Python, SQL, Jupyter notebooks, graph/link-analysis tools, and/or other…

Position Requirements

10+ Years work experience
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