Remote positions

Remote AWS Jobs

Browse vetted remote AWS positions at AI companies — SageMaker ML platform engineering, cloud AI infrastructure, and MLOps on AWS.

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AWS ML Engineer Cloud AI Architect SageMaker MLOps Engineer Cloud Infrastructure Engineer AWS Data Engineer

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Jobs & Projects

Skydio
Full-time
English
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Hyperscience
senior
Full-time
English
python docker aws azure machine learning +3 more
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Ema

Posted 4 hours ago

Devops Engineer, US

Full-time
English
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Turbopuffer

Posted 4 hours ago

partnerships

Full-time
English
aws azure gcp vector databases
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Elicit

Posted 6 hours ago

Infrastructure Engineer

Full-time
English
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Tavus
Full-time
English
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Ema
senior
Full-time
English
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Nebius
staff
Full-time
English
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Nousresearch
Full-time
English
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Apify
senior
Full-time
English
aws node.js claude kubernetes typescript +2 more
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Role guide

What to expect in remote AWS jobs

AWS is the most widely used cloud platform for AI companies. Remote AWS jobs in this space combine cloud engineering with ML infrastructure knowledge — SageMaker for model training and deployment, S3 and Glue for data pipelines, and Lambda or ECS for serving. Engineers who bridge cloud architecture and ML system design are consistently in demand.

What you'll work on

  • Deploy and monitor ML models using SageMaker endpoints and pipelines
  • Build scalable data ingestion and processing pipelines with S3 and Glue
  • Design cost-efficient ML training infrastructure on EC2 GPU instances
  • Create serverless AI feature APIs using Lambda and API Gateway

What companies look for

  • SageMaker experience — training jobs, endpoints, and pipelines
  • Strong AWS fundamentals — IAM, VPC, S3, EC2, ECS, Lambda
  • Infrastructure-as-code with Terraform or CDK

Frequently asked questions

What AWS jobs are available remotely at AI companies?

Cloud engineering roles focused on ML infrastructure — SageMaker pipelines, data lake architecture on S3, and AI service integration. Many also involve ECS or EKS for container orchestration.

Do remote AWS AI jobs require SageMaker experience?

For ML-focused roles, SageMaker experience is a strong advantage. General cloud engineering roles may focus on ECS/EKS, Lambda, or data services instead. Check listings for the specific service stack.

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