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. 

You Have:  

• 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, or 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

Nice If You Have:  

• 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

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. 

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to 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.