Applied AI Engineer

Booz Allen Hamilton

. Train, test, deploy, and maintain models that learn from data .

Posted 10/7/2026full-timeFort Belvoir • Virginia • United StatesMid-LevelSenior💰 $77,600 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying AI solutions, with a strong focus on machine learning algorithms, data processing, and user experience best practices. Proven ability to collaborate with cross-functional teams and adapt AI technologies to meet diverse operational needs.

Highest-signal resume keywords

Python ProgrammingAI Solution DevelopmentMachine Learning AlgorithmsFastAPI or FlaskUser Experience Best Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringApplied AIMachine LearningRapid PrototypingData ProcessingAPI DevelopmentFront-End DevelopmentHuman-in-the-Loop EvaluationAnalytical Dashboard ManagementConversational AI Safety

Soft Skills

CollaborationAdaptabilityClient Guidance

Tools & Technologies

FastAPIFlaskStreamlitGradioReactTypeScript

Certifications & Qualifications

Security+ CertificationSecret Clearance

Industry Keywords

AI StrategyNational SecurityMission IntegrationConversational InterfacesAI Red Teaming

Tech Stack

Tools & technologies

FlaskPythonReactTypeScript

About the role

Key responsibilities & impact

Train, test, deploy, and maintain models that learn from data
Define the direction of critical AI solutions by applying best-fit ML algorithms and technologies
Rapidly prototype, develop, and iterate on AI solutions such as chat systems, user-facing applications, and domain-specific copilots
Evaluate and tune AI outputs by refining prompts, optimizing retrieval logic, and implementing custom heuristics
Process data and information at massive scale
Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers
Guide clients on AI and ML algorithms, tools, and frameworks
Work with Mission Integration teams and product stakeholders to translate mission needs into business-facing AI capabilities
Support AI strategy for national security customers
Complete identity verification, including being on camera during interviews and assessments

Requirements

What you’ll need

3+ years of experience in software engineering, applied AI and ML, 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 conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics
Experience with Python and building API endpoints such as FastAPI or Flask, or rapid UI frameworks such as Streamlit or Gradio
Ability to work closely with Mission Integration teams and product stakeholders to translate mission needs into refined, business-facing AI capabilities
Ability to pivot quickly between different domains and use cases, adapting AI solutions to diverse operational requirements
Ability to obtain a Secret clearance
Bachelor's degree
Experience with human-in-the-loop (HITL) evaluation, AI red teaming, or assessing conversational interfaces for safety and hallucination mitigation
Experience with front-end development technologies such as React or TypeScript
Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance
Experience with user experience (UX) best practices tailored to conversational AI and generative interfaces
Secret clearance
Security+ Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
Identity verification and fraud-prevention process