Agentic AI ML Engineer — Mission-Ready ML & LLMs

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced machine learning engineer to design and deploy AI/ML solutions for Defense and Intelligence sectors. You will work on production-grade ML, LLMs, and integration across cloud environments, emphasizing scalable, mission-ready software.

The role requires 3+ years in ML, cloud experience (AWS/Azure), and the ability to obtain a Secret clearance. We offer comprehensive benefits and a strong engineering culture that values collaboration and continuous

Qualifications

• 3+ years as ML engineer building production-grade ML solutions (LLMs, agents, automation)
• 3+ years data science/research, training or deploying models across modalities
• 3+ years cloud experience (AWS, Azure)
• 2+ years deploying production ML models with Docker and Kubernetes
• Experience with LLMs, DL, RL and tools such as LangChain, LangGraph, PydanticAI, llamaindex
• Experience connecting agents to APIs, cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers (Grafana, Langfuse, LangSmith, Phoenix)
• Experience evaluating architectural tradeoffs and designing robust service-based software
• Ability to obtain a Secret clearance
• Bachelor’s degree
• Master’s degree (nice-to-have)

Skills

ML engineering

LLMs

Agents

Automation frameworks

Data science

Data research

AWS

Azure

Docker

Kubernetes

LangChain

LangGraph

PydanticAI

llamaindex

APIs

Databases

Grafana

Langfuse

LangSmith

Phoenix

System architecture

Secret clearance

Education

Bachelor’s degree

Job description

Booz Allen Hamilton is seeking an experienced machine learning engineer to design and deploy AI/ML solutions for Defense and Intelligence sectors. You will work on production-grade ML, LLMs, and integration across cloud environments, emphasizing scalable, mission-ready software.

The role requires 3+ years in ML, cloud experience (AWS/Azure), and the ability to obtain a Secret clearance. We offer comprehensive benefits and a strong engineering culture that values collaboration and continuous