Agentic AI Engineer

Booz Allen Hamilton•McLean, VA

2d•$99,000 - $225,000•Remote

About The Position

As an experienced engineer, you know that agentic AI is transforming how organizations operate, make decisions, and deliver outcomes at speed. Your ability to design and build practical agentic systems that turn manual workflows into AI-enabled solutions makes you an integral part of delivering mission-focused outcomes. We need your technical depth, product mindset, and problem-solving drive to support the National Security Sector Rapid Prototyping team. In this role, you will define, design, and deliver mission-relevant agentic AI prototypes in fast, iterative development cycles. You will collaborate with product leads, solution architects, and engineers to build, test, and deploy agent-based solutions that solve high-priority client challenges. You will apply best-fit frameworks and patterns, including agent orchestration, tool use, memory, and retrieval, while balancing solution quality, reliability, and cost. You will be part of a small, high-performing team operating in a 4-week prototype lifecycle, where priorities shift quickly and multiple efforts may run in parallel. Success in this role requires adaptability, clear communication, strong execution, and ownership from concept through delivery. Work with us to solve real-world challenges and shape the future of mission-focused agentic AI. Join us. The world can’t wait.

Requirements

Experience building and delivering agentic AI applications in production or prototype environments
Experience implementing agent orchestration frameworks, including AWS Strands
Experience designing and implementing agent loops, tool-calling workflows, and multi-agent interaction patterns
Knowledge of LLM platforms and providers, including AWS Bedrock, OpenAI, or Ollama
Knowledge of prompt engineering techniques for reliability, controllability, and task performance
Knowledge of MCP usage and development, including integration of external tools and capabilities
HS diploma or GED

Nice To Haves

Experience implementing retrieval patterns for agentic systems, including RAG and GraphRAG
Experience building agentic evaluation frameworks, test harnesses, or quality benchmarks
Experience implementing observability for agentic systems such as traces, telemetry, and failure analysis
Knowledge of session and chat memory management strategies across multi-turn workflows
Ability to design and document lightweight APIs that expose agent capabilities to downstream systems
Bachelor's degree in a technical field such as Computer Science or Engineering

Responsibilities

Define, design, and deliver mission-relevant agentic AI prototypes in fast, iterative development cycles.
Collaborate with product leads, solution architects, and engineers to build, test, and deploy agent-based solutions that solve high-priority client challenges.
Apply best-fit frameworks and patterns, including agent orchestration, tool use, memory, and retrieval, while balancing solution quality, reliability, and cost.
Own technical delivery end to end in short-cycle environments, from design through deployment.
Follow code review practices, document work, and maintain clean and reusable code.