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Booz Allen Hamilton

AI Developer

Booz Allen Hamilton

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

Posted 9/24/2026full-timeUnited StatesJuniorMid-Level💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building production-grade software with Python, TypeScript, or Java, and deploying AI-enabled applications using Agentic frameworks. Proficient in implementing MLOps or DevSecOps practices and designing secure data foundations on enterprise cloud platforms.

Highest-signal resume keywords
Production-Grade Software DevelopmentAI-Enabled Application DeploymentMLOps ImplementationSecure Data Foundations on Cloud PlatformsEvent-Driven Integration Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptJavaFastAPIFlaskRESTGraphQLSQLMLOpsDevSecOps
Tools & Technologies
AWSKafkaNATSRabbitMQAgentic FrameworksAI-Assisted Development Tools
Certifications & Qualifications
Secret ClearanceTS/SCI Clearance (Nice-to-Have)
Industry Keywords
AI-Enabled ApplicationsEvent-Driven IntegrationsData FoundationsGeospatial Data3D DataIoT TelemetryCross-Domain Data HandlingRMFSTIG

Tech Stack

Tools & technologies
AWSCloudFlaskGraphQLIoTJavaKafkaPythonRabbitMQSQLTypeScript

About the role

Key responsibilities & impact
  • Train, test, deploy, and maintain models that learn from data
  • Own and define the direction of mission-critical solutions using cutting-edge Agentic frameworks
  • Collaborate with data engineers, data scientists, solutions architects, and product owners
  • Deliver solutions that transform how the Air Force manages its day-to-day business
  • Guide clients as they navigate the landscape of Agentic Frameworks
  • Build production-grade software with APIs and data services
  • Develop and deploy AI-enabled applications, including LLMs, RAG, and agentic workflows
  • Build secure data foundations on enterprise cloud platforms
  • Design event-driven integrations and workflow automation
  • Implement MLOps or DevSecOps practices

Requirements

What you’ll need
  • 2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL
  • Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows
  • Experience building secure data foundations on enterprise cloud platforms such as AWS, governed ingest and file exchange, data catalog and metadata, and data mesh-style data products
  • Ability to design event-driven integrations and workflow automation such as asynchronous messaging or audit logging
  • Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation
  • Secret clearance required
  • HS diploma or GED
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
  • Experience with geospatial or 3D data, including point clouds, LiDAR, photogrammetry, digital-twin, or facility and asset data models
  • Experience integrating sensor streams or IoT telemetry and edge-to-cloud data flows such as Kafka, NATS, RabbitMQ, or equivalent
  • Experience deploying software and data or ML pipelines in disconnected, air-gapped, or classified environments
  • Experience with cross-domain data handling constraints
  • Experience with RMF or STIG-aligned delivery
  • Experience with AI-assisted software development tools and practices such as code copilots, automated tests, or secure-by-design patterns
  • TS/SCI clearance is listed as a nice-to-have
  • Must complete identity verification using advanced biometrics and artificial intelligence
  • Expected to be on camera during interviews and assessments
  • Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted

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 for exceptional performance and superior demonstration of company values