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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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Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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As a Senior Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the...
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Posted 2 weeks ago
Principal Product Manager, Billing & Marketplaces
ClickHouse
United States · also open in 1 other location
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase direct...
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Posted 2 weeks ago
Senior Product Manager, Billing & Marketplaces
ClickHouse
Europe · also open in 1 other location
ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase direct...
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We are seeking a Platform Engineer to take ownership of deploying, managing, and evolving our multi-prem platform architecture across diverse customer...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 2 weeks ago
Customer Reliability Engineer - Infrastructure - Hyderabad, India
Astronomer
Hyderabad
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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Posted 2 weeks ago
Staff Software Engineer — Engineering Systems, Continuous Integration
Snowflake
US-WA-Bellevue
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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Posted 2 weeks ago
Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Databricks
Remote - Germany · also open in 3 other locations
Location: Germany (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain We are looking for a Lead Solution Architect focused on...
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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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