AWS AI Cloud Engineer

Booz Allen Hamilton•McLean, VA

About The Position

As an AWS AI Cloud Engineer, you will resolve problems with complete end-to-end GenAI solutions in a fast, agile environment. This role involves developing software and systems from vision to production-ready, with a focus on cutting-edge GenAI technologies, enterprise-scale optimizations, and modernizations for operational systems. You will master new tools and techniques, identify system improvements, and help clients overcome challenges using the latest architectural approaches, tools, and technologies. You will also ensure that solutions developed consider the architecture, operating environment, future functionality, and enhancements.

Requirements

  • 5+ years of experience with software, including cloud first development approach
  • 2+ years of experience with Generative AI technologies and LLM deployment
  • 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS or EKS, Amazon Bedrock, CloudWatch, RDS, DynamoDB, IAM policies, security groups, and network security
  • Experience working with containerization, including Docker, Kubernetes, ECS, or EKS, and container orchestration
  • Experience with developing and deploying production geospatial applications from concept to Operations and Maintenance (O&M)
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice To Haves

  • Experience with Authority to Operate (ATO) processes and security documentation
  • Experience with API management including batching, caching, throttling, and rate limiting
  • Experience with LangGraph or LangChain
  • Experience leading technical initiatives in large-scale environments
  • Experience with system design, including scalability and reliability
  • Knowledge of security best practices and compliance requirements
  • AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification
  • IAT Level II+ Certification such as Security+ or CISSP Certification

Responsibilities

  • Resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment
  • Develop software and systems from vision to production-ready
  • Master new tools and techniques and identify needed system improvements
  • Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies
  • Make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements

Benefits

  • health benefits
  • life benefits
  • disability benefits
  • financial benefits
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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