Senior Cloud Architect, ML/AI
Tasks
- Advise customers on GenAI architectures and deployment
- Architect data training inference and integration layers
- Capture repeatable AI ML patterns reference architectures and runbooks
- Collaborate with sales, customer success, product, and engineering teams
- Define engagement outcomes and engineering tradeoffs
- Design and run service led product adoption plays using AI ML
- Develop scalable gravel road solutions for productization
- Execute delivery programs to detect product struggles and unblock customers
- Lead design and implementation of production ML and generative AI solutions on AWS
- Maintain systems templates and workflows for planning observability and quality
- Translate business problems into secure reliable cost efficient observable architectures
- Use CI CD for AI ML delivery and governance
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 Lambda | AWS Step Functions | 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 | Amazon SageMaker Pipelines | BigQuery ML | CI/CD | Distributed Training | Google Cloud | IAM | KMS | Lake Formation | Language Models | Large Language Models | Model Evaluation | Multimodal AI | Prompt engineering | PyTorch | Q Business | Q developer) | SageMaker Model Monitor | Sagemaker Pipelines | Step Functions | TensorFlow | Vertex AI
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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