AWS Agentic AI Platform Engineer

Booz Allen Hamilton; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced AWS Agentic AI Platform Engineer to build secure, AWS-based capabilities that process data and automate complex workflows.

You will train, test, deploy, and maintain ML models and agentic applications, collaborating with data scientists, engineers, cloud and DevSecOps, solutions architects, and mission experts to deliver trustworthy AI-enabled decision support.

Qualifications

• Experienced AI/ML engineer with a strong software background.
• Experience with AWS and secure cloud environments.

Responsibilities

• Own and define the ML platform direction and architecture.
• Collaborate with data scientists, software engineers, DevSecOps, and mission experts.

Job description

AWS Agentic AI Platform Engineer

The Opportunity:

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 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 traceable outputs. Your skills