Applied AI Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VAFort Belvoir, VA
Salary: $99,000–$225,000 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $162k

$83k $247k

below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $145,525–$231,362 — the blue band above. At the midpoint, this role pays about $162k versus about $188k 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 1485 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 899 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer

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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 and MLOps engineers to build use-case-specific solutions like chat systems, user-facing applications, and domain-specific copilots. Key responsibilities include conducting comprehensive evaluation and tuning of AI outputs, refining prompts, and optimizing retrieval logic. Required technical skills include Python, FastAPI, Flask, Streamlit, and Gradio. Candidates must possess experience in software engineering, applied AI, and full-stack development. The role solves complex business problems by translating mission needs into refined, business-facing AI capabilities within a national security context.

Skills

Python FastAPI Flask Streamlit Gradio React TypeScript MLOps Full-Stack Development Human-in-the-loop AI red teaming

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 model performance and user interactions.

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 business-facing AI capabilities by working with integration teams and stakeholders.
Ability to pivot quickly between different domains and adapt AI solutions to various operational requirements.
Experience with human-in-the-loop evaluation, AI red teaming, or safety assessment (preferred).
Bachelor's degree.