Applied AI Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Fort Meade, MD
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $162k
$82k $259k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $151,106–$241,750 — the blue band above. At the midpoint, this role pays about $162k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1781 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Applied AI Engineer

JOB TITLE: Applied AI Engineer As an Applied AI Engineer on the national security team, you will build, test, deploy, and operate end-to-end AI pipelines to enhance mission performance and decision-making. You will collaborate with a cross-functional team of model engineers, data engineers, cloud architects, and ISSEs to align workflows with infrastructure and security requirements. Your daily responsibilities include building reproducible pipelines, applying automation best practices, and optimizing data flows across hybrid compute environments. You will utilize Python, Rust, Git, and containerization technologies like Docker or Kubernetes. The role requires integrating LLMs or agentic workflows, managing CI/CD pipelines, and developing Retrieval Augmented Generation solutions. You must possess the technical expertise to navigate evolving toolchains and ensure the reliable operationalization of scalable AI systems within a secure, mission-focused production environment.

What you'll do

  • Build, test, deploy, and operate end-to-end AI pipelines for mission systems.
  • Design and maintain robust AI/ML pipelines and automated workflows.
  • Integrate LLMs or agentic workflows into existing software stacks.
  • Align AI and ML workflows with infrastructure and security requirements.
  • Optimize data flow and ensure monitoring and observability for production systems.
  • Evaluate emerging AI and ML frameworks, libraries, and toolchains.
  • Support resilient mission execution across hybrid compute environments.

What we're looking for

  • TS/SCI clearance with a polygraph is required.
  • High school diploma or GED and 6+ years of experience in software or AI/ML engineering, or a Bachelor’s degree and 4+ years of experience.
  • Experience developing with Python or Rust.
  • Experience with Git.
  • Experience integrating 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.
  • 10+ years of experience with software engineering or AI/ML engineering (preferred).
  • Experience with JavaScript, Typescript, HTML, and CSS (preferred).
  • Experience with AI agent frameworks (preferred).
  • Experience developing Retrieval Augmented Generation (RAG)-enabled solutions (preferred).
  • Ability to evaluate emerging AI and ML frameworks, libraries, or tool chains (preferred).

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