AWS Agentic AI Platform Engineer
AI summary of the role
This role is for an experienced AI/ML engineer to design, deploy, and maintain agentic AI and machine learning solutions on AWS for national defense missions.
What you’ll do
- Train, test, deploy, and maintain machine learning models and agentic applications that learn from data, retrieve governed knowledge, interact with approved tools, and support human decision-making.
- Own and define the direction of mission-critical solutions by applying best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns.
- Collaborate with data engineers, data scientists, software engineers, cloud and DevSecOps engineers, solutions architects, product owners, and mission subject matter experts to deliver secure AWS-based capabilities.
- Guide clients in navigating AI/ML algorithms, tools, frameworks, evaluation methods, and production deployment patterns.
What you’ll bring
- 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 developing, deploying, or supporting applications on AWS
Technologies
AWS · Python · LangGraph · LangChain · LlamaIndex · Amazon Bedrock · Amazon SageMaker · Amazon OpenSearch Service · FastAPI · Docker · Kubernetes · Terraform
About Booz Allen
Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.
Public · 5000+ people
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