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
Education
N/A
Roles
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