Applied AI Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Fort Belvoir, VAReston, VA
Salary
$99,000–$225,000 / yr
Posted
36 days ago
Freshness
Confirmed live 2 days ago

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 train, test, deploy, and maintain models that learn from data to support enterprise-wide application and data capabilities. You will own the direction of critical solutions by applying best-fit machine learning algorithms while collaborating with data engineers, scientists, and MLOps specialists to process information at a massive scale. Your daily work involves prototyping use-case-specific solutions like chat systems and domain-specific copilots, refining prompts, and optimizing retrieval logic. You will utilize Python, FastAPI, Flask, Streamlit, or Gradio to build API endpoints and demonstrate capabilities. The role requires expertise in evaluating AI outputs, managing human-in-the-loop assessments, and potentially utilizing React or TypeScript for front-end delivery. This position focuses on solving real-world challenges by translating mission needs into business-facing capabilities within the national security domain.

What you'll do

  • Train, test, deploy, and maintain machine learning models that process large datasets.
  • Define the direction of critical solutions by selecting and applying appropriate ML algorithms.
  • Prototype and iterate on use-case specific AI solutions like chat systems and domain-specific copilots.
  • Evaluate and tune AI outputs by refining prompts, optimizing retrieval logic, and implementing custom heuristics.
  • Build API endpoints using frameworks like FastAPI or Flask to demonstrate AI capabilities.
  • Develop rapid UI prototypes using tools such as Streamlit or Gradio.
  • Translate mission requirements from stakeholders into refined, business-facing AI capabilities.
  • Advise clients on navigating the landscape of AI algorithms, tools, and frameworks.

What we're looking for

  • 3+ years of experience in software engineering, applied AI and ML, or full-stack development including AI integrations.
  • Experience prototyping and iterating on use-case-specific solutions like chat systems and domain-specific copilots.
  • Experience evaluating and tuning AI outputs through prompt refinement, retrieval logic optimization, and custom heuristics.
  • Proficiency with Python and building API endpoints using FastAPI or Flask, or UI frameworks like Streamlit or Gradio.
  • Ability to translate mission needs into business-facing AI capabilities while adapting to various operational requirements.
  • Security+ Certification is preferred.
  • Bachelor's degree.

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