Applied AI Engineer

Booz Allen Hamilton • McLean, VA

6d • $77,600 - $176,000

About The Position

As an Applied AI Engineer on Booz Allen’s national security team, you will train, test, deploy, and maintain models that learn from data. You will define the direction of critical solutions by selecting suitable machine-learning algorithms and technologies, and collaborate with AI engineers, data engineers, data scientists, solutions architects, and MLOps engineers to deliver large-scale solutions. You will also guide clients as they evaluate AI and ML algorithms, tools, and frameworks, and help shape AI strategy for national security customers.

Requirements

• Experience with software engineering, applied AI and machine learning, or full-stack development, including AI integrations.
• Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots.
• Experience evaluating and tuning AI outputs, including prompt refinement, retrieval optimization, and custom heuristics.
• Experience with Python and building API endpoints with tools such as FastAPI or Flask, or rapid UI frameworks such as Streamlit or Gradio.
• Ability to work with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities.
• Ability to adapt quickly across domains and use cases and adjust solutions to operational requirements.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience with human-in-the-loop evaluation, AI red teaming, or evaluating conversational interfaces for safety and hallucination mitigation.
• Experience with front-end technologies such as React or TypeScript for end-to-end user-facing product delivery.
• Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance.
• Experience with UX best practices for conversational AI and generative interfaces.
• Secret clearance.
• Security+ certification.

Responsibilities

• Train, test, deploy, and maintain machine-learning models.
• Define the direction of critical solutions and apply appropriate machine-learning algorithms and technologies.
• Rapidly prototype, develop, and iterate on use-case-specific AI solutions, including chat systems, user-facing applications, and domain-specific copilots.
• Evaluate and tune AI outputs by refining prompts, optimizing retrieval logic, and implementing custom heuristics.
• Build Python API endpoints or rapid user interfaces to demonstrate AI capabilities.
• Work with Mission Integration teams and product stakeholders to translate mission needs into business-facing AI capabilities.
• Adapt AI solutions to different domains, use cases, and operational requirements.
• Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers on large-scale solutions.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level