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Booz Allen Hamilton

AI Developer

Booz Allen Hamilton

Agentic AI Developer building and deploying secure AWS AI agents for Booz Allen’s defense clients. Integrating enterprise data, workflows, ML capabilities, and mission-focused applications.

Posted 9/10/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $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 developing and deploying AI/ML-enabled applications, particularly using Python and AWS. Capable of translating mission needs into effective software solutions while ensuring security and performance.

Highest-signal resume keywords
Python Software DevelopmentAI/ML Application IntegrationAWS FundamentalsGit-Based Version ControlPerformance Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production-Grade Software DevelopmentAPI DevelopmentData ServicesLLM ImplementationWorkflow OrchestrationAutomated TestingError AnalysisContext ManagementHuman-In-The-Loop ControlsSecurity Controls
Soft Skills
CollaborationProblem-SolvingTechnical Design Discussions
Tools & Technologies
Booz Allen Agent FoundryAWS AI ServicesCI/CD ToolsAutomated Testing FrameworksVersion Control Systems
Certifications & Qualifications
CompTIA Security+ CertificationAWS Certifications
Industry Keywords
Mission Readiness AssessmentsCapability Gap AnalysisKnowledge DiscoveryComputer VisionGeospatial AnalysisRegulated EnvironmentsClassified Information

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • Build, integrate, test, deploy, and maintain AI agents and supporting applications using Booz Allen’s Agent Foundry platform in AWS
  • Connect agents to enterprise data and tools
  • Implement retrieval and workflow orchestration
  • Integrate ML capabilities
  • Evaluate application performance and reliability
  • Collaborate with AI/ML engineers, data and cloud engineers, solutions architects, platform developers, and domain subject matter experts
  • Translate mission needs into working software
  • Support mission readiness assessments, capability gap analysis, knowledge discovery, workflow automation, and computer vision or geospatial analysis
  • Own assigned features and contribute to technical design discussions and code reviews
  • Troubleshoot issues and improve solutions
  • Help deliver mission-focused agents with security controls, traceable outputs, and human oversight

Requirements

What you’ll need
  • 2+ years of experience developing production-grade Python software, including back-end applications, APIs, or data services
  • 2+ years of experience developing, integrating, or deploying AI/ML-enabled applications, including hands-on implementation using LLMs, retrieval-augmented generation, or agentic workflows
  • Experience with Git-based version control, code reviews, automated testing, and CI/CD
  • Experience evaluating AI/ML applications using test datasets, performance metrics, error analysis, or documented user feedback
  • Knowledge of LLM and agent development patterns, including tool/function calling, context management, retrieval, workflow orchestration, and human-in-the-loop controls
  • Knowledge of AWS fundamentals, including IAM, compute, storage, networking, managed AI/ML services, and secure development practices
  • Ability to translate a mission use case into an implemented and tested software feature
  • Ability to obtain a Secret clearance
  • Bachelor's degree in CS, Software Engineering, Data Science, or Engineering and 5+ years of relevant experience, or Master's degree in those fields and 2+ years of relevant experience
  • Nice-to-have experience with AWS AI services, agent orchestration, production data pipelines, AWS DevOps/MLOps, AWS security, computer vision/multimodal/geospatial solutions, regulated or classified environments, AWS certifications, and CompTIA 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 for exceptional performance and superior demonstration of values