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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Intelligence Analyst, Agentic AI Integration - **Company:** General Dynamics Information Technology - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $144,500.0 - $195,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Big Data, Databases, Data Cleansing, Data Discovery, Data Mining, Intelligence Analysis, Python (Programming Language), Knowledge Management, Link Analysis, Machine Learning, Natural Language Processing, Named Entity Recognition, Pattern Recognition, Search Technologies, SQL Databases, Unstructured Data, Jupyter Notebook, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Data Analytics, Virtual Agents, Streamlit Framework - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4b24450256b8e36c ## About the Role * Experience conducting all-source and multi-discipline intelligence analysis. * Understanding of intelligence tradecraft, analytic standards, sourcing, confidence levels, and structured analytic techniques. * Familiarity with using 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 analytic platforms. * Familiarity with model evaluation and human-in-the-loop workflows. * Experience with retrieving data and interacting with services through APIs. * Experience developing training, playbooks, SOPs, or adoption plans for new analytic tools. WHAT YOU'LL NEED TO SUCCEED * Clearance: Current TS/SCI Clearance with current or willingness to obtain CI polygraph * Experience: 10+ years of related experience * Education: Bachelor's degree preferred, 8 + years of related experience * may vary based on technical training, certification(s), or degree ## Description Iron EagleX is seeking a Senior 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 a repeatable, 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., As a Senior Intelligence Analyst, Agentic AI Integration, you will work with analysts, data scientists, software developers, and AI engineers to leverage cutting-edge AI solutions to deliver data analytic products to answer critical questions and requirements., * 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 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 development of repeatable analytic methodologies that combine 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 and improve tools and ensure capabilities meet operational requirements. ## Related Videos - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? 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