Agentic AI ML Engineer for Defense-Grade Systems

Booz Allen Hamilton; Washington; On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an Agentic AI Machine Learning Engineer to design and deploy production-grade ML/AI solutions for Defense and Intelligence missions.

You will work with LLMs, agents, and ML workflows, emphasizing scalable, secure architectures, MLOps, and cloud integration across AWS/Azure. Collaboration with cross-functional teams is essential. Applicants should have 3+ years of ML engineering experience and a Bachelor’s degree, with the ability to obtain a Secret clearance.

Qualifications

• 3+ years of experience as a ML engineer and building production-grade ML solutions.
• 3+ years of experience in data science or data research and training or deploying models across multiple modalities of data.
• 3+ years of experience in cloud environments (AWS/Azure).
• 2+ years deploying and integrating production-grade ML models using Docker and Kubernetes.
• Experience with LLMs, DL, RL and tools such as LangChain, LangGraph, PydanticAI, or llamaindex.
• Experience in connecting Agents to APIs, Cloud platforms, or databases.
• Experience evaluating LLM performance and building observation layers for stakeholders (Grafana, Langfuse, LangSmith, Phoenix).
• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use.
• Ability to obtain a Secret clearance.

Skills

ML engineering

LLMs/Agents

Data science

AWS

Azure

Docker

Kubernetes

LangChain

LangGraph

PydanticAI

llamaindex

API integration

Grafana

Langfuse

LangSmith

Phoenix

Software architecture

Security clearance

Education

Bachelor's degree

Master's degree

Tools

TensorFlow

PyTorch

llama.cpp

vLLM

Job description

Booz Allen Hamilton is seeking an Agentic AI Machine Learning Engineer to design and deploy production-grade ML/AI solutions for Defense and Intelligence missions.

You will work with LLMs, agents, and ML workflows, emphasizing scalable, secure architectures, MLOps, and cloud integration across AWS/Azure. Collaboration with cross-functional teams is essential. Applicants should have 3+ years of ML engineering experience and a Bachelor’s degree, with the ability to obtain a Secret clearance.