Agentic AI Engineer

Booz Allen Hamilton is seeking an Agentic AI Engineer to define, design, and deliver mission-relevant agentic AI prototypes through rapid, iterative development cycles.

Responsibilities

• Define, design, and deliver mission-relevant agentic AI prototypes in fast, iterative development cycles.
• Partner with product leads, solution architects, and engineers to build, test, and deploy agent-based solutions for high-priority client challenges.
• Use best-fit frameworks and patterns, including agent orchestration, tool use, memory, and retrieval, while balancing solution quality, reliability, and cost.
• Operate in a small, high-performing team running a 4-week prototype lifecycle where priorities can shift quickly and multiple efforts may run in parallel.
• Demonstrate 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, reusable code.
• HS diploma or GED.

Technologies

• AWS Strands
• AWS Bedrock
• OpenAI
• Ollama
• MCP
• RAG
• GraphRAG

Nice if You Have

• 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.

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Compensation

• Projected compensation range: $99,000.00 to $225,000.00 (annualized USD)
• Posting will close within 90 days from the Posting Date

Work Model

• Onsite: Work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Identity & AI Policies

• Complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• We reserve the right to take your picture to verify your identity and prevent fraud.
• Use of AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.

Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Location: McLean, VA (onsite)

Education: HS diploma or GED