Senior Cloud Architect, Delivery (GenAI)
Tasks
- Advise customers on deploying and optimizing AI ML workloads at scale
- Apply model evaluation and prompt engineering best practices
- Build AI ML data pipelines using S3 Glue Lake Formation and Redshift
- Build distributed training and inference performance optimizations
- Build end to end AI ML workflows with Lambda Step Functions API Gateway and EKS or Fargate
- Deploy and scale foundation models using Amazon Bedrock
- Design secure reliable cost efficient observable cloud architectures
- Develop ML pipelines with SageMaker components
- Drive cloud cost efficiency improvements and workshops
- Fine tune and deploy large language models using Amazon SageMaker
- Implement CI CD for AI ML using AWS CodePipeline and CodeBuild
- Implement security posture improvements using IAM and network segmentation
- Integrate ML frameworks TensorFlow and PyTorch with SageMaker
- Lead design and implementation of production AI ML solutions on AWS
- Provide deep technical support and expert inquiry responses
- Reduce operational toil with automation and policy enforcement
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Glue | AWS Lambda | Amazon Bedrock | Amazon Redshift | Amazon SageMaker | CI/CD | CodeBuild | CodePipeline | Distributed Training | EKS | Fargate | FinOps | IAM | Lake Formation | MLOps | Network Segmentation | Prompt engineering | PyTorch | S3 | Step Functions | TensorFlow
Education
N/A
Roles
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