Applied AI Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
McLean, VAFort Belvoir, VA
Employment
Full-time
Posted
19 days ago
Freshness
Confirmed live yesterday
Closes
Jan 5, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $196k
$130k $254k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $150,000–$241,750.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer

The Applied AI Engineer joins the national security team to train, test, deploy, and maintain models that learn from data. This role involves owning the direction of critical solutions by applying best-fit ML algorithms to process information at a massive scale. You will collaborate with data engineers, data scientists, and MLOps engineers to build use-case-specific solutions like chat systems, user-facing applications, and domain-specific copilots. Key responsibilities include refining prompts, optimizing retrieval logic, and implementing custom heuristics. Required technical skills include Python, FastAPI, Flask, Streamlit, and Gradio, alongside experience in full-stack development and AI integrations. You must be able to translate mission needs into business-facing capabilities while navigating the landscape of ML frameworks and tools to solve real-world challenges for national security customers.

What you'll do

  • Train, test, deploy, and maintain machine learning models that learn from large datasets.
  • Define the direction of critical solutions by applying best-fit ML algorithms and technologies.
  • Rapidly prototype and iterate on use-case-specific AI solutions like chat systems and copilots.
  • Conduct comprehensive evaluation and tuning of AI outputs by refining prompts and optimizing retrieval logic.
  • Build API endpoints using Python frameworks like FastAPI or Flask to demonstrate AI capabilities.
  • Translate mission needs into refined, business-facing AI capabilities for national security customers.
  • Manage and deploy analytical dashboards to track user interactions and model performance.

What we're looking for

  • 3+ years of experience in software engineering, applied AI and ML, or full-stack development including AI integrations.
  • Experience rapidly prototyping and iterating on use-case-specific AI solutions like chat systems or domain-specific copilots.
  • Experience conducting comprehensive evaluation and tuning of AI outputs, including refining prompts and optimizing retrieval logic.
  • Experience with Python and building API endpoints (FastAPI, Flask) or rapid UI frameworks (Streamlit, Gradio).
  • Ability to translate mission needs into refined, business-facing AI capabilities with mission integration teams and stakeholders.
  • Experience with HITL evaluation, AI red teaming, front-end technologies (React, TypeScript), or Security+ Certification (preferred).
  • Bachelor's degree.

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