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