Senior Cloud Architect, ML/AI

Tasks

• Build repeatable AI ML patterns reference architectures and runbooks
• Collaborate with sales customer success product and partners to drive product adoption
• Design production ML and GenAI workloads including data training inference and integration
• Develop and optimize agentic AI patterns and AI governance approaches
• Lead ML and GenAI solution architecture on AWS
• Maintain delivery documentation templates and dashboards
• Mentor peers and run enablement sessions
• Provide technical leadership and trusted advisory for AI ML workloads
• Translate business problems into secure reliable cost efficient and observable cloud architectures
• Use CI CD monitoring and observability for AI ML systems

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 | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon CloudFormation | Amazon CloudWatch | Amazon CodeBuild | Amazon CodePipeline | Amazon ECR | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon SageMaker Pipelines | BigQuery | BigQuery ML | CI/CD | Docker | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | IAM | KMS | Lake Formation | Model Evaluation | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Clarify | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | TensorFlow Serving | Vertex AI