Senior Cloud Architect, Delivery (GenAI)
CAD 121K-168K (estimate) Senior-level Full Time
Tasks
- Advise customers on deploying and optimizing AI ML workloads at scale
- Automate reduce operational toil and enforce policies
- Build ML pipelines and monitor models with SageMaker Model Monitor
- Build secure reliable cost efficient and observable cloud architectures
- Deliver cloud optimization sessions and well architected style assessments
- Deploy and scale foundation models using Amazon Bedrock
- Design HA DR architectures and SLO SLA aware systems
- Design and implement production grade ML and generative AI solutions on AWS
- Develop data pipelines using S3 Glue Lake Formation and Redshift
- Fine tune and deploy large language models using Amazon SageMaker
- Implement end to end AI ML workflows using Lambda Step Functions API Gateway and EKS
- Improve cost efficiency through rightsizing reservations and storage optimization
- Integrate observability and governance processes with cloud intelligence platform
- Respond to expert cloud inquiry and support requests
- Set up CI CD for AI ML using CodePipeline and CodeBuild
- Strengthen security posture with IAM network segmentation and least privilege
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Fargate | AWS Glue | AWS Lake | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | CI/CD | Cost Optimization | Data Wrangler | Disaster Recovery | Distributed Training | Generative AI | High Availability | IAM | Lake Formation | Least Privilege | MLOps | Machine Learning | Model Evaluation | Model Monitor | Network Security | Prompt engineering | PyTorch | Q Business | Q developer) | SLA | SLO | SageMaker Clarify | SageMaker Data Wrangler | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | VPC | Web Services
Education
N/A
Roles
Architect | Cloud Architect | Cloud) | Senior Cloud Architect
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