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AI Developer
Booz Allen HamiltonAgentic 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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSCloudPython
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