AI Engineer
Role overview
The Opportunity:
As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, agent orchestration components, and intelligent autonomous workflows to production applications. You will implement AI features using established software engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems.
In this role, you will help evolve AI solutions from traditional LLM-based interactions to autonomous, goal-oriented, and multi-agent systems by leveraging agent orchestration frameworks, Retrieval-Augmented Generation ( RAG ) , Knowledge Graphs ( KGs ) , and fine-tuned Small Language Models ( SLMs ) . You will contribute to evaluation and monitoring approaches, refine integration workflows, collaborate with cross-functional teams, and develop scalable AI functionality that brings intelligent, production-ready AI solutions from concept into real-world environments.
Join us. The world can’t wait.
Basic qualifications
- 3+ years of experience developing and maintaining production software systems in Python
- Experience designing and implementing intelligent AI agent architectures using LangChain, LangGraph, AutoGen, MCP, and A2A
- Experience building RAG solutions with KGs and fine-tuning SLMs using ONNX, GGML, or Ollama
- Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows
- Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct and human-in-the-loop methodologies
- Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI / CD pipelines
- Ability to travel up to 25% of the time
- TS/SCI clearance
- Bachelor's degree in CS, Engineering, or Data Science
- DoD 8140 baseline Level II Certification such as Security+, CySA+, CISSP, or DoD Cyber Workforce Framework Certification
Preferred qualifications
- Experience supporting DoW clients or other federal mission environments
- Experience with advanced agentic patterns, including prompt caching, guardrails, agentic memory, Model Context Protocol ( MCP ) , and agentic deployment strategies
- Experience with end-to-end chatbot or agent to agent ( A2A ) development
- Experience with enterprise data and ML platforms such as Databricks or Snowflake
- Experience creating and managing large data processing pipelines
- Master’s degree
Benefits
- check_circle health, life, disability, financial, and retirement benefits
- check_circle paid leave
- check_circle professional development
- check_circle tuition assistance
- check_circle work-life programs
- check_circle dependent care
- check_circle recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values
- check_circle eligibility to participate in Booz Allen’s benefit programs for full-time and part-time employees working at least 20 hours a week
Tags & Focus Areas
About Booz Allen Hamilton
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
Ready to Join the Team?
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