Agentic AI Engineer

Booz Allen Hamilton • McLean, VA

1d

About The Position

As an experienced engineer, you will design and build practical agentic AI systems that turn manual workflows into AI-enabled solutions for mission-focused outcomes. You will support the National Security Sector Rapid Prototyping team by defining, designing, and delivering mission-relevant agentic AI prototypes in fast, iterative development cycles. In collaboration with product leads, solution architects, and engineers, you will build, test, and deploy agent-based solutions to address high-priority client challenges. You will apply suitable frameworks and patterns for agent orchestration, tool use, memory, and retrieval while balancing quality, reliability, and cost. The team works through a four-week prototype lifecycle, with shifting priorities and potentially multiple efforts underway in parallel. The role calls for adaptability, clear communication, strong execution, and ownership from concept through delivery.

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.
• Ability to own technical delivery end to end in short-cycle environments, from design through deployment.
• Ability to follow code review practices, document work, and maintain clean and reusable code.
• High school 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 for high-priority client challenges.
• Apply appropriate frameworks and patterns for agent orchestration, tool use, memory, and retrieval while balancing solution quality, reliability, and cost.
• Own technical delivery end to end, from design through deployment.
• Follow code review practices, document work, and maintain clean, reusable code.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED