AI and ML Data Scientist

Booz Allen Hamilton•McLean, VA

1d•$77,600 - $176,000•Remote

About The Position

As an Agentic AI Engineer and Data Scientist for military intelligence, you’re excited by the opportunity to design, develop, and deploy advanced AI systems that help analysts transform complex, fragmented information into actionable intelligence. You understand the possibilities created by large language models (LLMs), machine learning (ML), natural language processing (NLP), autonomous workflows, and multi-agent architectures, and you want to apply them to mission-critical national security challenges. In today’s contested and information-rich operating environment, military intelligence teams must rapidly make sense of large volumes of structured and unstructured data from multiple sources, formats, and domains. As an AI professional at Booz Allen, you’ll help build intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage for defense and national security clients. On our team, you’ll use your AI, data science, and software development skills to create real-world mission impact. You’ll work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs, identify high-value use cases, and develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human-in-the-loop decision-making. You’ll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You’ll help ensure these systems are reliable, explainable, secure, testable, and aligned to operational requirements. Ultimately, you’ll help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions. Work with us as we develop advanced AI capabilities for the mission. Join us. The world can’t wait.

Requirements

Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases.
Experience building AI-enabled applications using Python and modern AI/ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA.
Experience developing agentic AI systems, including autonomous or semi-autonomous agents, tool-using agents, multi-step reasoning workflows, task orchestration, retrieval-augmented generation, or human-in-the-loop AI capabilities.
Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, metadata, documents, or geospatial data.
Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission-aligned evaluation criteria.
Experience supporting military intelligence, defense intelligence, all-source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions.
Experience developing AI systems for classified, air-gapped, secure, or operationally constrained environments.
Experience with prompt engineering, prompt evaluation, model benchmarking, fine-tuning, synthetic data generation, or LLM application development.
Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment.
Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production-ready capabilities.
TS/SCI clearance.
Bachelor’s degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or Statistics.

Nice To Haves

Experience with distributed data, cloud, or high-performance computing tools, including Spark, Kafka, Hadoop, Hive, EMR, Databricks, Kubernetes, Docker, OpenSearch, Elasticsearch, or similar technologies.
Experience developing APIs, microservices, analytic interfaces, dashboards, or production software using FastAPI, Flask, REST services, Git, CI/CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or Power BI.
Knowledge of intelligence tradecraft, analytic standards, military operations, Joint or Combatant Command environments, the intelligence cycle, AI safety, model governance, responsible AI, explainability, auditability, access control, or data security.
Ability to collaborate with analysts, engineers, data owners, security teams, and mission stakeholders to deploy AI-enabled capabilities in operational environments.
TS/SCI clearance with a polygraph.
Master's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, Statistics, or a related field.
AI, ML, Cloud Computing, Data Engineering, Cybersecurity, or DevSecOps Certification such as AWS, Azure, Google Cloud, Databricks, Kubernetes, Security+, or similar Certification.

Responsibilities

Design, develop, and deploy advanced AI systems for military intelligence.
Build intelligent systems to support intelligence discovery, analysis, prioritization, reporting, and decision advantage.
Create real-world mission impact using AI, data science, and software development skills.
Work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs and identify high-value use cases.
Develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human-in-the-loop decision-making.
Design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes.
Ensure AI systems are reliable, explainable, secure, testable, and aligned to operational requirements.
Help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions.