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
72 days ago
Freshness
Confirmed live yesterday
Closes
Oct 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $162k
$83k most similar roles pay here $252k

This role pays less than 58% of similar roles. Most pay $146,450–$235,187 — the shaded band above. At the midpoint, this role pays about $162k versus about $191k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 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 model engineers, data engineers, cloud architects, and ISSEs to align machine learning workflows with infrastructure and security requirements. Your daily responsibilities include building reproducible pipelines, implementing automation best practices, optimizing data flow, and ensuring monitoring and observability across hybrid compute environments. To succeed in this role, you must possess experience with Python or Rust, Git, containerization tools like Docker or Kubernetes, and CI/CD pipelines. You will also work with LLMs, agentic workflows, and RAG-enabled solutions. The role requires a TS/SCI clearance with a polygraph to support mission-critical systems within the national security domain.

What you'll do

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

What we're looking for

  • TS/SCI clearance with polygraph is required.
  • A high school diploma and 6+ years of experience in software or AI/ML engineering are required.
  • A Bachelor's degree and 4+ years of experience in software or AI/ML engineering are required.
  • Experience developing with Python or Rust is required.
  • Experience with Git, containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines is required.
  • Experience integrating LLMs or agentic workflows within software stacks is required.
  • Preferred experience includes 10+ years of software or AI/ML engineering.
  • Preferred skills include JavaScript, TypeScript, HTML, CSS, and developing RAG-enabled solutions.

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