Agentic AI Machine Learning Engineer

Booz Allen Hamilton offers a position that centers on building production-grade AI and ML solutions for Defense and Intelligence, including work with large language models and intelligent agents. This onsite opportunity in Washington, DC emphasizes deployment, scalability, and operationalization across mission environments. You will join a team that supports your growth with comprehensive benefits, professional development, and work‑life programs, along with tuition assistance and dependent care support. You can expect a stable, mission-driven culture that values collaboration and impact, backed by a robust benefits package including health, life, disability, financial, and retirement benefits, paid leave, and a recognition program.

Responsibilities

• Design, develop, and deploy end‑to‑end AI systems that transform client operations, broaden data accessibility, and optimize AI and ML pipelines.
• Architect and implement AI/ML solutions that handle fast-moving data, scale with usage-based infrastructure, and grow to meet evolving mission requirements.
• Consider the broader ecosystem, operating environment, and future functionality when delivering solutions.
• Deepen expertise in software engineering, machine learning operations (MLOps), and the deployment and integration of software across diverse mission environments.

Requirements

• 3+ years as a ML engineer building production‑grade ML solutions, including work with LLMs, agents, or complex automation frameworks
• Experience in data science or data research settings, training or deploying models across multiple data modalities
• Experience working in cloud environments, including AWS or Azure
• Experience deploying and integrating production‑grade ML models using Docker and Kubernetes
• Experience with LLMs, Deep Learning, and Reinforcement Learning, and with AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
• Experience connecting agents to APIs, cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers for stakeholders with Grafana, Langfuse, LangSmith, or Phoenix
• Experience evaluating architectural tradeoffs and designing robust service‑based software for scalable use
• Ability to obtain a Secret clearance
• Bachelor’s degree

Technologies

• AWS, Azure
• Docker, Kubernetes
• LangChain, LangGraph, PydanticAI, llamaindex
• Grafana, Langfuse, LangSmith, Phoenix
• TensorFlow, PyTorch, llama.cpp, vLLM
• Kafka, Red Panda, Confluent

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work‑life programs
• Dependent care
• Recognition awards program

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

The projected compensation range for this position is $99,000 to $225,000 annually. Compensation at Booz Allen is determined by factors including location, the individual’s education, knowledge, skills, competencies, experience, contract affordability, and organizational requirements. The shown range represents typical salary for this position and is one component of Booz Allen’s total compensation.

Identity Verification

As part of the hiring process, you will undergo an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and prevent fraud. You are expected to be on camera during interviews and assessments, and Booz Allen may take your photo to verify identity.

Candidate AI Usage Policy

AI is part of Booz Allen daily work, and the company supports responsible and ethical use of AI tools. The use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Work Model

• Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with direct collaboration with colleagues and clients as required.
• Hybrid: Frequent work from a Booz Allen facility is expected, with potential visits to customer facilities, aligned with leadership expectations and role needs.
• Remote: If listed as remote, there may still be occasions when in-person work at a Booz Allen or customer facility is required.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.