About the role As an AI Engineer, you will bring advanced AI capabilities into production systems by integrating models, inference endpoints, agent‑orchestration frameworks, and intelligent workflows into complex, distributed software environments. You will apply strong software engineering principles to ensure these AI features operate reliably, securely, and efficiently at scale. In this role, you will help evolve traditional LLM-driven solutions into goal‑oriented, multi‑agent architectures 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 strategies, refine integration workflows, collaborate with cross‑functional engineering teams, and develop scalable AI capabilities that translate cutting‑edge concepts into operational, mission‑ready solutions. Join us. The world can’t wait. Requirements 3+ years of experience developing and maintaining production-grade software systems in Python Experience designing and implementing AI agent architectures using LangChain, LangGraph, AutoGen, MCP, or A2A Experience building RAG solutions with Knowledge Graphs and fine‑tuning SLMs using ONNX, GGML, or Ollama Experience integrating LLMs, external APIs, and distributed services into production with optimized inference workflows Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct patterns 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 Computer Science, Engineering, or Data Science DoD 8140 Level II Certification such as Security+, CySA+, or CISSP Certification Nice If You Have Experience supporting DoD clients or other federal mission environments Experience with advanced agentic patterns, including prompt caching, guardrails, agent memory, Model Context Protocol (MCP), and agent deployment strategies Experience developing end‑to‑end chatbot or agent‑to‑agent (A2A) systems Experience with enterprise data and machine learning platforms such as Databricks or Snowflake Experience building or managing large‑scale data processing pipelines Master’s degree in a related field 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. Benefits 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. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as 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. 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.
