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