Agentic AI Developer

Agentic AI Developer The Opportunity:  As an AI / ML engineer, you know that the value of AI comes from applying it to real operational challenges. We need your sof tware engineering skills and problem-solving mindset to help a defense client turn complex data and workflows into secure, reliable AI-enabled capabilities. As an agentic AI developer on our team, you’ll build, integrate, test, deploy, and maintain AI agents and supporting applications using Booz Allen’s Agent Foundry platform in an AWS environment. In this role, you’ll contribute throughout the development lifecycle, connecting agents to enterprise data and tools, implementing retrieval and workflow orchestration, integrating ML capabilities, and evaluating application performance and reliability. You’ll collaborate with AI / ML engineers, data and cloud engineers, solutions architects, platform developers, and domain subject matter experts to translate mission needs into working sof tware. Your contributions may support mission readiness assessments, capability gap analysis, knowledge discovery, workflow automation, and computer vision or geospatial analysis for infrastructure and asset management. You’ll take responsibility for assigned features, contribute to technical design discussions and code reviews, and work with teammates to troubleshoot issues and improve solutions. Building on capabilities provided by the platform team, you’ll help deliver mission-focused agents with appropriate security controls, t race able outputs, and human oversight. You’ll have opportunities to apply your technical strengths while expanding your experience across agentic AI, ML, and cloud sof tware engineering. Work with us to turn advances in AI into dependable capabilities that help defense organizations make informed decisions and accomplish their missions. Join us. The world can’t wait. You Have:    2+ years of experience developing production-grade Python sof tware, including back-end applications, APIs, or data services 2+ years of experience developing, integrating, or deploying AI / ML-enabled applications, including hands-on implementation of applications using large language models (LLMs), retrieval-augmented generation, or agentic workflows Experience contributing to a sof tware development project using Git-based version control, code reviews, automated testing, and CI / CD Experience evaluating an AI / ML application using test datasets, performance met rics, error analysis, or documented user feedback to identify and implement improvements Knowledge of LLM and agent development patterns, including tool or function calling, context management, retrieval, workflow orchestration, and human-in-the-loop controls Knowledge of AWS fundamentals, including identity and access management (IAM), compute, storage, networking, and managed AI / ML services, and secure development practices such as least-privilege access, secrets management, and input and output validation Ability to translate a mission use case into an implemented and tested sof tware feature and communicate its design, results, and limitations to engineering teammates and domain subject matter experts Ability to obtain a Secret clearance Bachelor’s degree in CS, Sof tware Engineering, Data Science, or Engineering and 5+ years of experience in sof tware engineering, AI / ML engineering, data engineering, or cloud engineering, or Master’s degree in CS, Sof tware Engineering, Data Science, or Engineering and 2+ years of experience in sof tware engineering, AI / ML engineering, data engineering, or cloud engineering Nice If You Have:    Experience developing or deploying AI-enabled applications on AWS using services such as Amazon Bedrock, Amazon SageMaker AI, AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon OpenSearch Service, Amazon ECS, or Amazon EKS Experience implementing agent orchestration, tool integration, or knowledge retrieval using Strands Agents, LangGraph,