Agentic AI/ML Engineer: Build Scalable Mission AI

Booz Allen Hamilton; Washington (District of Columbia); 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 AI/ML solutions for Defense and Intelligence sectors in Washington, DC. You will build production-grade ML systems that scale with data and infrastructure, focusing on MLOps and deployment across mission environments.

Applicants should have 3+ years in ML engineering, hands-on experience with AWS/Azure, Docker/Kubernetes, and familiarity with LLMs, LangChain, and related frameworks.

Qualifications

• 3+ years of experience as a ML engineer with production-grade ML solutions.
• 3+ years of experience with LLMs, agents, or complex automation frameworks.
• 3+ years in data science or data research and deploying models across modalities.
• 3+ years in cloud environments, including AWS and Azure.
• 2+ years deploying production-grade ML models using Docker and Kubernetes.
• Experience with LangChain, LangGraph, PydanticAI, or llamaindex.
• Ability to obtain a Secret clearance.
• Bachelor’s degree

Skills

ML Engineer

Cloud AWS

Docker

Kubernetes

LLM/Agents

API integration

Secret clearance

Education

Bachelor's degree

Master's degree

Tools

Docker

Kubernetes

LangChain

LangGraph

PydanticAI

llamaindex

TensorFlow

PyTorch

Job description

Booz Allen Hamilton is seeking an Agentic AI Machine Learning Engineer to design and deploy AI/ML solutions for Defense and Intelligence sectors in Washington, DC. You will build production-grade ML systems that scale with data and infrastructure, focusing on MLOps and deployment across mission environments.

Applicants should have 3+ years in ML engineering, hands-on experience with AWS/Azure, Docker/Kubernetes, and familiarity with LLMs, LangChain, and related frameworks.