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Browse remote AWS positions at AI companies — SageMaker ML platform engineering, cloud AI infrastructure, and MLOps on AWS.
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Posted 2 months ago
Forward Deployed Engineer, Life Sciences
Domino Data Lab
Remote US
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At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform in...
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Posted 2 months ago
Research Scientist
Snorkel AI
New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
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Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine techn...
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Posted 2 months ago
Site Reliability Engineer, Platform Infrastructure (Foundations)
Anyscale
San Francisco
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At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commerci...
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Posted 2 months ago
Staff Software Engineer, Platform Infrastructure (Foundations)
Anyscale
San Francisco
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At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commerci...
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Posted 2 months ago
Software Engineer, Infrastructure
Anyscale
San Francisco
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At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commerci...
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 2 months ago
Deployed Architect, Professional Services (Amsterdam)
LangChain
Amsterdam
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 2 months ago
Deployed Architect, Professional Services (London)
LangChain
London
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 2 months ago
Deployed Architect, Professional Services (Austin)
LangChain
Austin, TX
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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Posted 2 months ago
Deployed Architect, Professional Services (Dallas)
LangChain
Dallas, TX
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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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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