AI and ML Engineer

Job Number: R0235167 AI and ML Engineer Opportunity As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. As a machine learning engineer on our autonomy team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be responsible for the end-to-end training and deployment of edge LLMs and SLM, starting from data gathering or generation to training via LoRA, SFT, and unsupervised training like RL. Work with us to solve real-world challenges and define ML strategy for the U.S. military and operators. Requirements 4+ years of experience with ML and AI 3+ years of experience training AI models, and with GenAI, including fine-tuning Experience performing distributed training across large GPU clusters Experience with LangChain, LangGraph, AutoGen, or LlamaIndex Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration Experience in RAG architecture Knowledge of graphs, including Neo4j or NebulaGraph Knowledge of modern software design patterns, including microservice design or edge computing Ability to obtain a Secret clearance Bachelor's degree in a CS or AI field Nice to Have Experience generating datasets for LLM or SLM fine-tuning Experience deploying models to compute-constrained environments Master's degree in a CS, AI, or related field preferred; Doctorate degree in CS, Statistics, or a related field a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation 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 $77,600.00 to $176,000.00 (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. 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 Phase2 Technology