Remote AWS Cloud AI Engineer—Gen AI & MLOps

United States Digital Space LLC; United States; Remote; USD 89,500 - 130,000; Full time

Job summary

BMC is seeking an AWS Cloud AI Engineer to design, implement, and operate secure, scalable AI/ML platforms on Amazon Web Services. You will optimize the AWS ecosystem with IaC, monitor health, and ensure high availability of model endpoints and data planes.

You will lead end-to-end operationalization of modern AI workloads including LLM-powered apps, RAG, and agentic workflows, building CI/CD pipelines and secure, compliant cloud pipelines.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related discipline.
• Experience deploying and operationalizing AI workloads on AWS (SageMaker or Bedrock).
• Healthcare domain knowledge in regulated environments is a plus.

Responsibilities

• Engineer, implement, and manage secure, scalable AI/ML platforms within AWS.
• Lead IaC-based optimization for high availability of model endpoints and data planes.
• Operationalize modern AI workloads including LLMs, RAG, and agentic AI frameworks.
• Build reliable, cost-efficient platforms using AWS services and CI/CD pipelines.

Skills

Generative AI

LLMs

Prompt engineering

Education

Bachelor's degree in Computer Science or related

Master’s degree in Computer Science

Tools

Terraform

CloudFormation

Docker

Kubernetes

GitHub Actions

CodePipeline

Python

PyTorch

TensorFlow

Job description

BMC is seeking an AWS Cloud AI Engineer to design, implement, and operate secure, scalable AI/ML platforms on Amazon Web Services. You will optimize the AWS ecosystem with IaC, monitor health, and ensure high availability of model endpoints and data planes.

You will lead end-to-end operationalization of modern AI workloads including LLM-powered apps, RAG, and agentic workflows, building CI/CD pipelines and secure, compliant cloud pipelines.