Senior Cloud Architect, ML/AI
Tasks
- Build and run POVs and CloudBuild engagements
- Capture reusable ML patterns reference architectures and runbooks
- Collaborate with AWS partner teams for co sell motions
- Coordinate cross functional delivery with sales product and customer success
- Design and deploy production ML and GenAI on AWS
- Detect customer workflow issues and unblock ML delivery
- Lead ML and GenAI architecture
- Maintain planning observability and quality workflows
- Monitor and operate ML systems for reliability and cost
- Own customer technical success and tradeoff decisions
- Provide GenAI technical advisory
- Recommend and operationalize AI ML product adoption
- Translate business problems into secure reliable architectures
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 Governance | API Gateway | AWS CodeBuild | AWS CodePipeline | AWS Fargate | AWS Glue | AWS KMS | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon IAM | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon SageMaker Clarify | Amazon SageMaker Data Wrangler | Amazon SageMaker Model Monitor | Amazon Web Services | Bias detection | CI/CD | Cloud Security | Data Engineering | Data Wrangler | Distributed Training | GenAI | Lake Formation | Language Models | Large Language Models | MLOps | Model Evaluation | Multimodal AI | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Clarify | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Architect | Cloud Architect | Cloud) | Senior Cloud Architect
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