AWS Cloud AI Engineer

Company: Boston Medical Center

Location: Remote (Remote)

Salary: $89,500 - $130,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-07-23

About this role

### AWS Cloud AI Engineer

  • 49920
  • Remote, United States
  • Full Time

POSITION SUMMARY:

The AWS Cloud AI Engineer 2 at Boston Medical Center (BMC) is responsible for the engineering, implementation, and operational management of secure, scalable AI/ML platforms on Amazon Web Services. This position serves as a Subject Matter Expert (SME) in optimizing the underlying AWS ecosystem, leveraging Infrastructure as Code (IaC) and advanced monitoring to ensure model endpoints and data planes remain highly available. Beyond core cloud engineering, the role focuses on the end-to-end operationalization of modern AI and Generative AI workloads. Responsibilities include architecting the infrastructure guardrails necessary for high-performance environments such as Amazon Bedrock, SageMaker, and Kendra while maintaining strict adherence to enterprise security and governance standards. The ideal candidate will bring strong expertise in AWS architecture, infrastructure automation, DevOps practices, and AI platform integration, along with excellent communication skills and the ability to build strong working relationships across technical and business teams.

Position: AWS Cloud AI Engineer

Department: ITS Network - Tech Support

Schedule: Full Time

ESSENTIAL RESPONSIBILITIES / DUTIES:

The AWS AI Engineer 2 at Boston Medical Center (BMC) is responsible for the following tasks:

  • Engineer, implement, and manage secure, scalable AI/ML platforms specifically within the AWS ecosystem.
  • Serve as a Subject Matter Expert (SME) in optimizing AWS infrastructure using Infrastructure as Code (IaC) to ensure high availability for model endpoints and data planes.
  • Lead the end-to-end operationalization of modern AI and Generative AI workloads, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
  • Build and maintain reliable, cost-efficient platforms utilizing native AWS services and automated CI/CD pipelines to t...

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