Senior Cloud Architect, ML/AI
Tasks
- Build scalable AI and ML patterns reference architectures runbooks
- Collaborate with sales, product, customer success, and partners
- Deliver customer AI and ML technical advisory from discovery to deployment
- Design data training inference integration layers
- Design production AI and ML systems with AWS
- Lead CI CD and monitoring for AI systems
- Lead ML and Generative AI solution architecture and implementation
- Own technical success and define outcomes and tradeoffs
- Provide guidance on GenAI architectures
- Translate business problems into secure reliable observable 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
API Gateway | AWS CodeBuild | AWS CodePipeline | AWS Fargate | AWS Glue | AWS Lambda | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Step Functions | Amazon Web Services | BigQuery ML | CI/CD | Data Governance | Distributed Training | Generative AI | Google Cloud | IAM | KMS | Lake Formation | Machine Learning | Model Evaluation | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Model Monitor | Step Functions | TensorFlow | Vertex AI | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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