Senior Cloud Architect, ML/AI
Tasks
- Build reusable AI ML patterns and reference architectures
- Collaborate with sales and customer success on partner and delivery engagements
- Deliver CI CD for AI ML workflows
- Design and deploy AI ML data training and inference pipelines
- Develop prompt engineering and model evaluation approaches
- Ensure security reliability performance cost and observability
- Implement MLOps monitoring and governance controls
- Integrate genai services with customer systems
- Lead production ML and generative AI architectures on AWS
- Provide technical advisory across discovery deployment and optimization
Perks/Benefits
- Employee stock option plan
- Flexible working options
- Health insurance
- Home-office allowance
- Parental leave
- Peer recognition program
- Professional development stipend
- Unlimited vacation
Skills/Tech-stack
API Gateway | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CodeBuild | Amazon CodePipeline | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | CI/CD | CloudWatch | Data Wrangler | Distributed Training | Fine Tuning | GPU Training | IAM | Jira | KMS | Lake Formation | Language Models | Large Language Models | Model Evaluation | Multi-GPU | Multi-GPU Training | Multimodal AI | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Clarify | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | Web Services
Education
Roles
AI | AI Architect | Architect | Cloud Architect | Senior Cloud Architect
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