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Booz Allen

Builds AI and cyber systems for the US government

Agentic AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAnnapolis Junction, MD, USA$99k - $225k /yrIn-person

About the Job

Requirements

  • At least 5 years of experience designing and implementing software systems in Python.
  • Experience creating AI agents or multi-step large language model workflows, including defining agent behavior, sequencing, or state-transition logic.
  • Experience integrating tools, application programming interfaces, or external services into AI-driven or workflow-oriented systems.
  • Experience building or maintaining memory systems such as session state, long-term persistence, or vector-based retrieval.
  • Experience implementing inference request flows, including handling latency, token limits, and batching strategies.
  • Experience writing integration tests for multi-service or multi-component systems.
  • Knowledge of containerization and continuous integration and continuous delivery pipelines.
  • Knowledge of distributed system patterns such as asynchronous task handling, message routing, or service-based architectures.
  • A TS/SCI clearance with a polygraph is required.
  • A bachelor's degree in Computer Science, Engineering, or Data Science is required.

Responsibilities

  • Design, build, and deploy AI agents capable of autonomously using tools, interacting with software systems, and executing multi-step tasks.
  • Develop agent architectures, including decision-making logic, memory systems, and orchestration flows that enable AI agents to perform complex operations reliably and safely.
  • Integrate new and existing tools, define structured interfaces for agent interactions, and implement evaluation and monitoring approaches to ensure agent behavior remains predictable and aligned with mission needs.
  • Collaborate across engineering teams to deliver scalable and production-ready agentic systems that enhance capabilities across distributed environments.

Desired Qualifications

  • Experience architecting multi-agent workflows, including coordination patterns such as hierarchical, collaborative, or parallel tasking.
  • Experience implementing state machines, planners, or decision-graph logic for agent behavior and tool routing.
  • Experience designing agent memory architectures, such as hybrid short-term/long-term memory systems or vector-based semantic recall.
  • Experience developing evaluation, observability, and monitoring solutions for agentic systems, including traceability of decisions and tool calls.
  • Experience with orchestration frameworks such as LangGraph, CrewAI, or AutoGen, and supporting data stores such as Redis or Postgres.
  • Experience integrating cloud AI platforms such as AWS Bedrock AgentCore, Google Gemini Enterprise Agent Platform, or Microsoft Foundry Agent Service.
  • Experience implementing resilience patterns such as retries with backoff, timeouts, circuit breakers, or safe-mode fallbacks for agent behavior.
  • Experience with Docker, Kubernetes, or infrastructure-as-code tooling.
  • Excellent written and verbal communication skills.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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