Senior Cloud Architect, Delivery (GenAI)
Tasks
- Advise customers on AI and ML workloads from discovery through deployment and optimization
- Build scripts and tooling for team enablement and expertise scaling
- Communicate technical topics to technical and non technical stakeholders and maintain architecture documentation
- Contribute code and end to end ownership of selected DCI features
- Create reusable Terraform modules playbooks and automation assets from one off solutions
- Deliver cloud optimization and well architected style assessment engagements
- Deploy and operate ML and GenAI training and inference workloads with GPU utilization scaling and cost control
- Design high availability and disaster recovery architectures
- Embed in account teams to deliver technical deployment integration and platform adoption
- Implement MLOps patterns including monitoring logging and FinOps integration
- Improve cost efficiency using rightsizing reservations commitments and storage optimization
- Integrate DoiT Cloud Intelligence into observability CI CD and governance processes
- Lead design and implementation of production grade machine learning and generative AI solutions on AWS
- Partner with FinOps teams to translate pain points into technical optimization plans and ship changes
- Provide product feedback on gaps friction points and automation opportunities
- Reduce operational toil with automation self service guardrails and policy enforcement
- Resolve expert inquiry support requests with deep cloud engineering expertise
- Strengthen security posture with IAM network segmentation data protection and least privilege
- Translate business problems into secure reliable cost efficient observable cloud architectures
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Amazon CodeBuild | Amazon CodePipeline | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | Automation | CI/CD | Disaster Recovery | Distributed Training | GPU Utilization | High Availability | IAM | Lake Formation | Language Models | Large Language Models | Least Privilege | MLOps | Model Evaluation | Multimodal AI | Network Segmentation | Observability | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Jumpstart | Security Posture | Step Functions | TensorFlow | Terraform | Web Services
Education
N/A
Roles
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