AI Engineer

The Opportunity As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across mission teams. You enjoy exploring new AI technologies, improving workflows, and translating user needs into well-structured technical solutions. We’re looking for someone with a strong foundation in software development, scripting, automation, system development, application integration, data engineering, DevOps, IT, or related technical disciplines who can apply that experience to AI/ML-enabled capabilities in sensitive and high-impact environments. As an AI/ML Engineer on our team, you’ll help build and refine multi-step LLM workflows, develop retrieval augmented pipelines, integrate models into operational systems, and perform prompt evaluations to ensure consistency and accuracy. You’ll partner closely with senior technical leaders for guidance while contributing to production-aligned capabilities that support Veteran-facing environments and adjacent mission teams. Work with us to shape real-world AI solutions and accelerate innovation across enterprise systems. Qualifications 6+ years of experience in software development, scripting, automation, system development, data engineering, application integration, DevOps, IT, systems administration, or cloud services Experience with AI/ML, LLM-enabled applications, prompt engineering, Python-based automation, APIs, data workflows, or emerging technology solutions Experience designing, testing, and iterating on prompts for production-oriented LLM applications Experience supporting RAG pipelines, including chunking strategies, embeddings, retrieval tuning, and grounding responses in source data Experience in Python, including scripting, debugging, writing reusable code, and working with external APIs Experience with tools for version control and collaborative coding workflows such as Git or GitHub Experience creating, troubleshooting, or maintaining functional software components in one or more programming languages Ability to align stakeholders, clarify requirements, and reduce rework Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree in a STEM, computer science, information technology, or engineering field Preferred Qualifications Experience with prompting strategies such as few-shot prompting, structured JSON or function calling prompts, or similar prompt design approaches Experience building or supporting multi-step LLM workflows or agents using LangChain, LlamaIndex, Semantic Kernel, LangGraph, or similar tools Experience implementing basic guardrails, output validation logic, error handling, or safe handling of model outputs in LLM systems Experience with vector databases or semantic search, such as pgvector, Azure AI Search, FAISS, or similar tools Experience evaluating prompts or building regression testing approaches for LLM behavior Experience with basic SQL, Microsoft SQL Server, or healthcare, claims, or research data Experience with Azure cloud services or Azure ML/AI Foundry tooling and integrating applications with APIs, databases, cloud services, or enterprise systems Experience working with PHI/PII or in HIPAA, IRB, or ATO governed environments Knowledge of responsible AI concepts including bias considerations, validation practices, and safe handling of model outputs Possession of excellent verbal and written communication skills Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation & Benefits Salary at Booz Allen is determined by various factors, including location, education, skills, experience, and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). This posting will close within 90 days from the posting date. Benefits include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care. Full-time and part-time employees working at least 20 hours a week are eligible to participate in Booz Allen’s benefit programs. Work Model 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. #J-18808-Ljbffr Booz Allen Hamilton