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Booz Allen Hamilton

Applied AI Engineer

Booz Allen Hamilton

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

Posted 10/9/2026full-timeFort Belvoir • Virginia • United StatesJuniorMid-Level💰 $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 training, deploying, and maintaining machine learning models while collaborating with cross-functional teams to deliver AI solutions tailored to national security needs. Proficient in statistical analysis and capable of rapidly prototyping user-facing applications and AI capabilities.

Highest-signal resume keywords
Machine Learning AlgorithmsPython ProgrammingAI Strategy DevelopmentTop Secret ClearanceStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningStatistical AnalysisSoftware EngineeringFull-Stack DevelopmentPrototyping AI SolutionsHuman-in-the-Loop EvaluationConversational AI EvaluationAPI DevelopmentData ProcessingModel Performance Tracking
Soft Skills
CollaborationAdaptabilityClient GuidanceProblem Solving
Tools & Technologies
ReactTypeScriptFastAPIFlaskStreamlitGradio
Certifications & Qualifications
Bachelor's DegreeSecurity+ Certification
Industry Keywords
AIMLNational SecurityData EngineeringMLOps

Tech Stack

Tools & technologies
FlaskPythonReactTypeScript

About the role

Key responsibilities & impact
  • Train, test, deploy, and maintain models that learn from data
  • Own and define the direction of critical solutions by applying best-fit ML algorithms and technologies
  • Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers
  • Process data and information at massive scale
  • Guide clients as they navigate AI and ML algorithms, tools, and frameworks
  • Solve real-world challenges and define AI strategy for national security customers
  • Support an enterprise-wide application and data capability
  • Conduct statistical analyses on business processes using ML techniques

Requirements

What you’ll need
  • 2+ years of experience in software engineering, applied AI and ML, or full-stack development
  • Experience rapidly prototyping, developing, and iterating on use-case-specific AI solutions such as chat systems, user-facing applications, and domain-specific copilots
  • 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 varied operational requirements
  • Top Secret clearance
  • Bachelor's degree
  • Security+ Certification is nice to have
  • Experience with human-in-the-loop (HITL) evaluation, AI red teaming, or assessing conversational interfaces for safety and hallucination mitigation is nice to have
  • Experience with front-end development technologies such as React or TypeScript is nice to have
  • Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance is nice to have
  • Experience with UX best practices tailored to conversational AI and generative interfaces is nice to have
  • Experience conducting comprehensive evaluation and tuning of AI outputs, including refining prompts, optimizing retrieval logic, and implementing custom heuristics is nice to have
  • Experience with Python and building API endpoints such as FastAPI or Flask or rapid UI frameworks such as Streamlit or Gradio is nice to have

Benefits

Comp & perks
  • Health benefits
  • Life benefits
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program for exceptional performance and superior demonstration of values
  • Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs