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
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 57% of similar roles. Most pay $145,525–$222,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $184k 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 787 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 764 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · 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 cross-functional teams of data engineers, cloud architects, and ISSEs to develop reproducible pipelines, automate operational workflows, and ensure monitoring across hybrid compute environments. The role involves integrating LLMs or agentic workflows into software stacks while navigating complex deployment patterns for scalable systems. Required technical skills include proficiency in Python or Rust, Git, and containerization tools like Docker or Kubernetes. You will also utilize CI/CD pipelines and potentially leverage JavaScript, TypeScript, HTML, CSS, and RAG-enabled solutions. The work focuses on solving critical problems within the national security domain by modernizing mission workflows and ensuring robust, secure integration of AI capabilities into production systems.

What you'll do

  • Build, test, deploy, and operate end-to-end AI pipelines for mission-critical systems.
  • Develop reproducible AI workflows using automation best practices to enhance performance and reliability.
  • Integrate LLMs and agentic workflows into existing software stacks.
  • Optimize data flows and automate operational workflows across hybrid compute environments.
  • Ensure monitoring and observability of production AI and ML systems.
  • Evaluate emerging AI frameworks, libraries, and toolchains to improve system capabilities.
  • Align AI and ML workflows with infrastructure and security requirements for secure deployment.

What we're looking for

  • TS/SCI clearance with polygraph is required.
  • High school diploma 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.
  • 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).
  • 10+ years of experience with software engineering or AI/ML engineering (preferred).

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