Mission-Critical AI Engineer — Scalable ML Pipelines

Booz Allen Hamilton; Fort Meade (FL); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Paid leave and retirement planning

Tuition assistance

Work-life programs

Job summary

Booz Allen Hamilton is hiring an Applied AI Engineer in Florida to design, implement, and operate scalable AI pipelines for mission systems. You will collaborate with AI model engineers, data engineers, and cloud architects to production‑ize AI capabilities while ensuring security and reliability across hybrid environments.

The role emphasizes automation, reproducible pipelines, and modernization of mission workflows, with a focus on producing measurable improvements in decision support and

Qualifications

• Experience developing with Python or Rust.
• Experience with Git.
• Experience with integration of LLMs or agentic workflows within software stacks.
• Experience with containerization or orchestration technologies such as Docker or Kubernetes.
• Knowledge of CI/CD pipelines.
• Ability to travel up to 25% of the time.
• TS/SCI clearance with a polygraph.
• HS diploma or GED and 6+ years of software/AI/ML engineering OR Bachelor's and 4+ years of experience.

Responsibilities

• Build, test, deploy, and operate end‑to‑end AI pipelines for mission systems.
• Collaborate with cross‑functional teams including AI model engineers and cloud architects.
• Automate workflows and ensure integration of AI capabilities into production environments.
• Support resilient mission execution across hybrid compute environments.

Skills

Python

Rust

Git

LLM integration

Docker/Kubernetes

CI/CD

Travel up to 25%

TS/SCI clearance with polygraph

Education

HS diploma or GED

Bachelor’s degree in CS or related field

Tools

Docker

Kubernetes

Git

Job description

Booz Allen Hamilton is hiring an Applied AI Engineer in Florida to design, implement, and operate scalable AI pipelines for mission systems. You will collaborate with AI model engineers, data engineers, and cloud architects to production‑ize AI capabilities while ensuring security and reliability across hybrid environments.

The role emphasizes automation, reproducible pipelines, and modernization of mission workflows, with a focus on producing measurable improvements in decision support and