AWS AI Cloud Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Springfield, VAMcLean, VAChantilly, VAReston, VA
Salary: $86,800–$198,000 / yr
Posted: 71 days ago
Freshness: Confirmed live yesterday
Closes: Sep 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k

This role $142k

$72k most similar roles pay here $226k

This role pays less than 75% of similar roles. Most pay $142,575–$211,200 — the shaded band above. At the midpoint, this role pays about $142k versus about $177k for comparable roles.

Based on 240 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.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AWS AI Cloud Engineer

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As an AWS AI Cloud Engineer, you will join the team to develop end-to-end Generative AI solutions in a fast, agile environment. You will be responsible for building and modernizing systems from initial vision to production-ready status while identifying necessary system improvements and ensuring architectural integrity for future functionality. The role involves developing and deploying production geospatial applications and managing enterprise-scale optimizations for operational systems. Your daily work will involve utilizing AWS services including Amazon Bedrock, CloudWatch, RDS, DynamoDB, and IAM policies, alongside containerization technologies like Docker, Kubernetes, ECS, or EKS. You will also leverage tools such as LangChain or LangGraph while navigating complex technical requirements involving API management, security best practices, and compliance. This role specifically addresses the challenge of creating scalable, reliable systems within a secure environment requiring an active TS/SCI clearance.

Skills

AWS Generative AI LLM Amazon Bedrock Docker Kubernetes ECS EKS CloudWatch RDS DynamoDB LangChain LangGraph API Management System Design

What you'll do

Develop end-to-end Generative AI solutions and systems from initial vision to production-ready status.
Implement and optimize enterprise-scale GenAI technologies and LLM deployments.
Build and manage cloud-native architectures using AWS services like Bedrock, ECS, EKS, and RDS.
Manage containerized applications using Docker and Kubernetes for scalable infrastructure.
Develop and deploy production geospatial applications through the full lifecycle to operations and maintenance.
Design system architectures that prioritize scalability, reliability, and future functionality.
Implement API management strategies including batching, caching, throttling, and rate limiting.
Ensure all developed solutions comply with security best practices and federal compliance requirements.

What we're looking for

Active TS/SCI clearance and willingness to take a polygraph exam.
5+ years of experience with software development using a cloud-first approach.
2+ years of experience with Generative AI technologies and LLM deployment.
2+ years of experience with AWS services, including Amazon Bedrock, ECS/EKS, and network security.
Experience with containerization tools such as Docker and Kubernetes.
Experience developing and deploying production geospatial applications from concept to O&M.
IAT Level II+ certification such as Security+ or CISSP is preferred.
Bachelor's degree.

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