Applied AI Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fort Belvoir, VAReston, VA
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Sep 27, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k

This role $127k

$57k most similar roles pay here $266k

This role pays less than 90% of similar roles. Most pay $159,375–$246,150 — the shaded band above. At the midpoint, this role pays about $127k versus about $203k 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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 691 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Applied AI Engineer

Role Posting Log in to save

As an Applied AI Engineer on our national security team, you will collaborate with data engineers and scientists to develop and maintain machine learning models that process vast datasets. Your daily tasks include rapidly prototyping AI solutions for various applications, evaluating model outputs, and refining them through iterative tuning. You’ll use Python alongside frameworks like FastAPI or Flask to build API endpoints and tools such as Streamlit or Gradio to showcase your work. This role requires a strong background in software engineering and applied AI, with experience in full-stack development and integrating AI into user-facing applications. Ideal candidates possess skills in front-end technologies like React and TypeScript, and have knowledge of UX principles for conversational AI interfaces.

Skills

Python FastAPI Flask Streamlit Gradio React TypeScript Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL AWS Azure MLOps Human-in-the-loop AI red teaming UX best practices for conversational AI

What you'll do

Train, test, deploy, and maintain AI models that learn from large datasets.
Develop use-case-specific AI solutions such as chat systems and user-facing applications.
Conduct comprehensive evaluation and tuning of AI outputs to refine performance.
Build API endpoints using frameworks like FastAPI or Flask to demonstrate AI capabilities.
Work with Mission Integration teams to translate mission needs into business-focused AI solutions.

What we're looking for

3+ years of experience in software engineering, applied AI and ML, or full-stack development.
Expertise in rapidly prototyping, developing, and iterating on use-case-specific AI solutions.
Proficiency in evaluating and tuning AI outputs for refinement and optimization.
Experience with Python and building API endpoints using FastAPI, Flask, Streamlit, or Gradio.
Ability to work closely with teams to translate mission needs into business-facing AI capabilities.

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