Booz Allen Hamilton is seeking an Agentic AI Engineer to help define, design, and deliver mission-relevant agentic AI prototypes through fast, iterative development cycles. In a small, high-performing team, you will build agent-based solutions that target high-priority client challenges, with a focus on quality, reliability, and cost.
What you’ll do
- 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.
- Apply best-fit frameworks and patterns, including agent orchestration, tool use, memory, and retrieval, while balancing solution quality, reliability, and cost.
- Work within a small team operating on a 4-week prototype lifecycle, where priorities shift quickly and multiple efforts may run in parallel.
- Drive success through adaptability, clear communication, strong execution, and end-to-end ownership from concept through delivery.
Required qualifications
- 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.
- HS diploma or GED.
Technologies you may work with
- AWS Strands, AWS Bedrock, OpenAI, Ollama, MCP
- RAG, GraphRAG
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Nice to 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.
Compensation and timeline
Projected compensation range: USD 99,000 to 225,000 per year (annualized USD).
Posting timeline: The 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 verification and candidate AI usage
- 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.
- The use of artificial intelligence (AI) or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.
Equal opportunity
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).
