Intelligence Analyst, Agentic AI Integration

Job Duties

• 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.

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 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.