Agentic AI Engineer

Agentic AI Engineer **The Opportunity:** As an Agentic AI Engineer, you will design, build, and deploy AI agents capable of autonomously using tools, interacting with software systems, and executing multi-step tasks. You will develop agent architectures, including decision-making logic, memory systems, and orchestration flows that enable AI agents to perform complex operations reliably and safely. You will 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. You’ll collaborate across engineering teams to deliver scalable and production-ready agentic systems that enhance capabilities across distributed environments. **You Have:** - 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 If You Have:** - 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 - Possession of excellent written and verbal communication skills **Clearance** **:** Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. **Compensation** At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, includin…