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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 3 months ago
Senior Solutions Architect (Data & AI) - Leeds based
Databricks
Remote - United Kingdom
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Location: The customer is based in Leeds or Manchester, United Kingdom Industry: Enterprise Retail or CPG (UKI Enterprise) - The customer is based in...
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Posted 3 months ago
Lakebase Associate Director Specialist-MFG
Databricks
Remote - Georgia; Remote - Texas; San Francisco, California
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Databricks is seeking a Lakebase Associate Director Specialists to help customers modernize their operational data foundation with Databricks Lakebase...
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Posted 3 months ago
Staff+ Software Engineer, Inference Velocity
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Posted 3 months ago
Security Engineer, Infrastructure Security
OpenAI
US - Remote
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Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects...
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Posted 3 months ago
Software Engineer, Infrastructure Security
OpenAI
US - Remote
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Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects...
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Posted 3 months ago
Principal Security Engineer, Infrastructure Security
OpenAI
US - Remote
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Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects...
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Posted 3 months ago
Principal Software Engineer, Infrastructure Security
OpenAI
US - Remote
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Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects...
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Posted 1 month ago
Applications closedSenior AI Training Data Snapshot Platform Engineer
Gravex Cloud
Remote
Los Angeles, United States (UTC-8)
What we have: a model registry, a feature store, and experiment tracking that hundreds of ML teams rely on. What's missing: a reliable way to say exac...
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Posted 1 month ago
Applications closedSenior AI Audio Loudness Normalization Engineer
Dravix Studio
Remote
London, United Kingdom (UTC+0)
Fast-moving team. Hard audio problem. We need someone who ships. Dravix Studio processes podcasts and audiobooks for independent creators, and platfor...
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Posted 1 month ago
Applications closedJunior AI Freight Invoice Audit Automation Developer
Orvion Systems
Remote
Chicago, United States (UTC-6)
Our freight invoice checks are still half manual, and the backlog grows every Monday. Carriers bill accessorial charges, fuel surcharges and detention...
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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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