Senior Cloud Architect, ML/AI
Tasks
- Build and operationalize end to end AI and ML pipelines
- Build reference architectures runbooks and gravel road solutions
- Collaborate with sales and customer success on AI opportunities
- Design and deploy ML and Generative AI workloads
- Drive customer technical outcomes and production readiness
- Implement monitoring and evaluation for AI systems
- Lead ML and Generative AI architectures on AWS
- Maintain delivery documentation and repeatable architecture patterns
- Mentor peers and conduct enablement sessions
- Provide AI governance security and compliance guidance
Perks/Benefits
- Employee stock option plan
- Flexible working options
- Health insurance
- Home-office allowance
- Parental leave
- Peer recognition program
- Professional development stipend
- Unlimited vacation
Skills/Tech-stack
AI ethics | API Design | API Gateway | AWS | AWS Fargate | AWS Glue | AWS Lambda | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon SageMaker | Bias detection | CI/CD | CodeBuild | CodePipeline | Data Privacy | Distributed Training | GenAI | IAM | KMS | Lake Formation | MLOps | Model Evaluation | Prompt engineering | PyTorch | Q Business | Q developer) | Redshift | S3 | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow
Education
Roles
Architect | Cloud Architect | Cloud) | Senior Cloud Architect
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