AWS Agentic AI Platform Engineer

Job Number: R0247584

AWS Agentic AI Platform Engineer

As an experienced 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 trustworthy 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, software engineers, cloud and Dev Sec Ops  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 traceable outputs.

Your skills and technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, frameworks, evaluation methods, and production deployment patterns.

Work with us to solve real-world challenges and define AI/ML strategy for national defense mission-support operations.

Join us. The world can't wait.

• 2+ years of experience with AI/ML engineering, data science, software 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 methods for model quality, retrieval relevance, task success, latency, cost, or system performance
• Knowledge of software engineering and Dev Sec Ops  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

• Experience developing agentic AI applications using AWS Strands Agents, Lang Graph, Lang Chain, Llama Index, or comparable frameworks
• Experience with Amazon Bedrock, Amazon Sage Maker AI, Amazon Open Search 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 Event Bridge, or comparable technologies
• Experience with Docker, Kubernetes, Amazon EKS, Amazon ECS, Terraform, AWS Cloud Formation, 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 Gov Cloud, 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 social network analysis
• Secret clearance
• AWS AI/ML, Software Development, Architecture, Dev Ops, Cloud Operations, or Security Certification or CompTIA Security+ Certification

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

• health, life, disability, financial, and retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• Our recognition awards program acknowledges employees for exceptional performance and superior…