Agentic AI Engineer

Booz Allen Hamilton • Annapolis Junction, MD

1d • $99,000 - $225,000 • Hybrid

About The Position

As an Agentic AI Engineer, you will design, build, and deploy AI agents that autonomously use tools, interact with software systems, and execute multi-step tasks. You will develop agent architectures—including decision-making logic, memory systems, and orchestration flows—that enable reliable and safe execution of complex operations. You will integrate new and existing tools, define structured interfaces for agent interactions, and implement evaluation and monitoring approaches to keep agent behavior predictable and aligned with mission needs. You will collaborate across engineering teams to deliver scalable, production-ready agentic systems that enhance capabilities across distributed environments.

Requirements

• 5+ years of experience designing and implementing software systems in Python.
• Experience creating AI agents or multi-step LLM workflows, including defining agent behavior, sequencing, or state-transition logic.
• Experience integrating tools, APIs, 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 CI/CD pipelines.
• Knowledge of distributed system patterns such as asynchronous task handling, message routing, or service-based architectures.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree in Computer Science, Engineering, or Data Science.

Nice To Haves

• Experience architecting multi-agent workflows, including hierarchical, collaborative, or parallel tasking coordination patterns.
• 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.

Responsibilities

• Design, build, and deploy AI agents that use tools, interact with software systems, and execute multi-step tasks.
• Develop agent architectures, including decision-making logic, memory systems, and orchestration flows.
• Integrate tools and define structured interfaces for agent interactions.
• Implement evaluation and monitoring approaches to ensure predictable agent behavior aligned with mission needs.
• Collaborate across engineering teams to deliver scalable, production-ready agentic systems for distributed environments.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level