Senior Cloud Architect, Delivery (GenAI)

Tasks

• Advise customers on deploying and optimizing AI and ML workloads at scale
• Build reusable assets Terraform modules playbooks and documentation
• Co deliver multi domain engagements with peer architects
• Deliver cloud optimization security and reliability review workshops
• Deploy and operate ML and GenAI workloads for training and inference
• Design HA DR architectures with SLO SLA aware practices
• Develop internal scripts and tooling for cloud optimization
• Embed into account teams to translate pain points into technical optimization plans
• Implement MLOps monitoring logging and FinOps integration
• Improve cost efficiency rightsizing reservations and storage optimization
• Integrate DoiT Cloud Intelligence into observability CI CD and governance processes
• Lead design and implementation of production grade ML and Generative AI solutions on AWS
• Reduce operational toil with automation guardrails and policy enforcement
• Respond to expert inquiry support requests with deep cloud engineering
• Scale and control GPU utilization and inference cost
• Strengthen security posture with IAM network segmentation and least privilege
• Translate business problems into secure reliable cost efficient observable cloud architectures

Perks/Benefits

• N/A

Skills/Tech-stack

API Gateway | AWS | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon SageMaker | CI/CD | Distributed Training | IAM | Lake Formation | Least Privilege | MLOps | Model Evaluation | Model Monitoring | Network Segmentation | Prompt engineering | PyTorch | Q Business | Q developer) | S3 | Step Functions | TensorFlow