AWS Agentic AI Platform Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Antonio, TXAustin, TX
Salary
$99,000–$225,000 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday
Closes
Nov 19, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $162k
$81k most similar roles pay here $268k

This role pays less than 72% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $162k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AWS Agentic AI Platform Engineer

As an AWS Agentic AI Platform Engineer on the national security team, you will train, test, deploy, and maintain machine learning models and agentic applications to transform fragmented data into trustworthy decision support and workflow automation. You will own and define the direction of mission-critical solutions by applying best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns. Your daily work involves collaborating with multidisciplinary teams to build secure AWS-based capabilities that process structured and unstructured data. Key technologies include Python, Amazon Bedrock, SageMaker AI, and OpenSearch Service, alongside frameworks like LangChain, LlamaIndex, and FastAPI. You will utilize DevSecOps practices including Docker, Kubernetes, and Terraform to manage production deployments. The role focuses on solving complex problems in national defense mission-support operations by implementing retrieval-augmented generation, vector search, and automated evaluation methods for high-assurance environments.

What you'll do

  • Train, test, deploy, and maintain machine learning models and agentic applications.
  • Develop agentic AI workflows using retrieval-augmented generation (RAG) and orchestration patterns.
  • Build and integrate AI capabilities with APIs, data stores, and cloud services.
  • Design and implement secure AWS-based solutions to automate complex workflows and process large datasets.
  • Evaluate model quality based on metrics like retrieval relevance, task success, latency, and cost.
  • Translate operational requirements into testable technical specifications for mission-critical systems.
  • Implement MLOps practices including automated evaluation, prompt versioning, and drift monitoring.
  • Develop Python-based microservices and durable workflows using frameworks like FastAPI or AWS Step Functions.

What we're looking for

  • Ability to obtain a Secret clearance.
  • 2+ years of experience in AI/ML engineering, data science, software engineering, data engineering, or cloud engineering.
  • Experience developing AI/ML applications using Python.
  • Experience developing agentic AI, LLM applications, RAG 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 software engineering and DevSecOps practices including version control, CI/CD, containerization, and infrastructure as code.
  • Bachelor’s degree.

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