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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Agentic AI Platform Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Automation of Tests, Big Data, Network Analysis, Cloud Computing, Cloud Engineering, CompTIA Security+, Continuous Integration, Information Engineering, Data Stores, Decision Support Systems, DevOps, Graph Database, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Search Technologies, Software Deployment, Unstructured Data, Openapi, AWS Cdk, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Generative AI, Cloudformation, Fastapi, SC Clearance, Containerization, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Machine Learning Operations, Virtual Agents, Terraform, Software Version Control, Devsecops, Docker, Microservices - **Published:** August 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9111978/aws-agentic-ai-platform-engineer ## About the Role * 2+ years of experience with AI / ML engineering, data science, sof tware engineering, data engineering, or cloud engineering * Experience developing AI / ML applications using Python * Experience developing agentic AI or large language model applications, retrieval-augmented generation systems, or predictive machine learning models * Experience integrating AI / ML capabilities with APIs, data stores, cloud services, or enterprise applications * Experience developing, deploying, or supporting applications on AWS * Knowledge of AI / ML evaluation met hods for model quality, retrieval relevance, task success, latency, cost, or system performance * Knowledge of sof tware engineering and DevSecOps practices, including version control, automated testing, CI / CD, containerization, and infrastructure as code * Ability to translate operational needs into testable technical requirements and collaborate with multidisciplinary engineering and mission teams * Ability to obtain a Secret clearance * Bachelor's degree Nice If You Have: * Experience developing agentic AI applications using AWS Strands Agents, LangGraph, LangChain, LlamaIndex, or comparable frameworks * Experience with Amazon Bedrock, Amazon SageMaker AI, Amazon OpenSearch Service, Knowledge Bases for Amazon Bedrock, Amazon Bedrock Guardrails, or related AWS AI / ML services * Experience implementing retrieval-augmented generation, embeddings, vector search, reranking, knowledge graphs, Model Context Protocol, Agent-to-Agent communication, or structured tool-calling integrations * Experience developing Python APIs, microservices, or durable workflows using FastAPI, Pydantic, OpenAPI, Temporal, AWS Step Functions, Amazon EventBridge, or comparable technologies * Experience with Docker, Kubernetes, Amazon EKS, Amazon ECS, Terraform, AWS CloudFormation, AWS CDK, or CI / CD automation * Experience with MLOps or LLMOps, including automated evaluation, prompt or model versioning, observability, tracing, drift monitoring, or rollback controls * Experience supporting AWS GovCloud, FedRAMP High, DoD Impact Level 4 or 5, or another regulated or high-assurance cloud environment * Experience with computer vision, multimodal AI, geospatial analytics, graph neural networks, temporal or dynamic graph networks, network science, or so cia l network analysis * Secret clearance * AWS AI / ML, Sof tware Development, Architecture, DevOps, Cloud Operations, or Security Certification or CompTIA Security+ Certification ## Description As an experience d AI / ML engineer, you know that machine learning and generative AI are critical to understanding and processing large, complex datasets. Your ability to apply statistical learning, large language models, retrieval techniques, and agentic workflow patterns makes you an integral part of delivering secure, customer-focused solutions. We need your technical knowledge and desire to problem-solve to help mission organizations transform fragmented data and manual processes into t rus tworthy AI-enabled decision support and workflow automation. As an AI / ML engineer on our national security team, you'll train, test, deploy, and maintain machine learning models and agentic applications that learn from data, retrieve governed knowledge, interact with approved tools and services, and support human decision-making. In this role, you'll own and help define the direction of mission-critical solutions by applying best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns. You'll be part of a talented team of machine learning engineers across the company and collaborate with data engineers, data scientists, sof tware engineers, cloud and DevSecOps engineers, solutions architects, product owners, and mission subject matter experts to deliver secure AWS-based capabilities that process structured and unstructured data, automate complex workflows, and produce t race able outputs. Your skills and technical expertise will guide clients as they navigate the landscape of AI / ML algorithms, tools, frameworks, evaluation met hods, and production deployment patterns. Work with us to solve real-world challenges and define AI / ML strategy for national defense mission-support operations. ## Related Videos - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Killed DevOps... 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