About this role
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.
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.Requirements
Experience building and delivering agentic AI applications in production or prototype environmentsExperience implementing agent orchestration frameworksExperience designing and implementing agent loops, tool-calling workflows, and multi-agent interaction patternsKnowledge of LLM platforms and providers, including AWS Bedrock and at least one additional provider, such as OpenAI or OllamaKnowledge of prompt engineering techniques for reliability, controllability, and task performanceKnowledge of MCP usage and development, including integration of external tools and capabilitiesAbility to own technical delivery end to end in short-cycle environments, from design through deploymentAbility to follow code review practices, document work, and maintain clean and reusable codeHS diploma or GEDNice-to-haves
Experience implementing retrieval patterns for agentic systems, including RAG or GraphRAG is a plusExperience building agentic evaluation frameworks, test harnesses, or quality benchmarksExperience implementing observability for agentic systems, such as traces, telemetry, and failure analysisKnowledge of session and chat memory management strategies across multi-turn workflowsAbility to design and document lightweight APIs that expose agent capabilities to downstream systemsBachelor’s degree in Computer Science, Engineering, or a related technical fieldBenefits
health, life, disability, financial, and retirement benefitspaid leaveprofessional developmenttuition assistancework-life programsdependent carerecognition awards program
Company:
Booz Allen Hamilton
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)