Senior Cloud Architect, ML/AI
Tasks
- Build reusable ML patterns reference architectures runbooks
- Collaborate with sales customer success product and partners
- Define tradeoffs and ensure security reliability performance cost
- Deliver customer AI adoption and technical advisory
- Design and deploy production ML and Generative AI systems
- Develop data training inference integration layers
- Implement AI governance security and compliance
- Improve install base health and product adoption
- Lead ML and Generative AI architectures on AWS
- Provide GenAI architecture guidance
- Run pre sales POVs and CloudBuild engagements
- Use Jira and dashboards for delivery tracking
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 | AWS CodeBuild | AWS CodePipeline | AWS Fargate | AWS Glue | AWS KMS | AWS Lambda | AWS Step Functions | Agentic AI | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | BigQuery ML | CI/CD | Cloud AutoML | Data Privacy | Distributed Training | Google Cloud | IAM | Lake Formation | Language Models | Large Language Models | Model Evaluation | Multimodal AI | Prompt engineering | PyTorch | Q Business | Q developer) | RLHF | SageMaker Clarify | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | Vertex AI
Education
N/A
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