Senior Cloud Architect, Delivery (GenAI)

Tasks

• Build MLOps pipelines integrate monitoring logging and FinOps
• Create reusable playbooks Terraform modules and automation templates
• Deliver structured cloud optimization and reliability security reviews
• Design secure reliable cost efficient observable cloud architectures
• Embed DoiT Cloud Intelligence into observability CI CD and governance processes
• Implement ML GenAI deployments training and inference scaling and cost control
• Lead design and implementation production grade ML and Generative AI solutions on AWS
• Optimize cloud costs reliability security and performance
• Own technical depth lane for deployment integration and platform adoption
• Partner with FinOps teams to translate pain points into technical optimization plans
• Provide cloud architecture trusted advisory for AI ML workloads at scale
• Respond to expert inquiry and support requests with well explained resolutions

Perks/Benefits

• N/A

Skills/Tech-stack

API Gateway | AWS | AWS CodeBuild | AWS CodePipeline | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon EKS | Amazon Redshift | Amazon S3 | Amazon SageMaker | CI/CD | CloudWatch | Data Wrangler | Distributed Training | FinOps | IAM | Kubernetes | Least Privilege | Logging | Model Monitor | Monitoring | Networking | Prompt engineering | PyTorch | Sagemaker Pipelines | Security | Step Functions | TensorFlow | Terraform | VPC