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Cloud AI Solution Architect
3 weeks ago
We are seeking an experienced Cloud Engineer to lead the deployment and configuration of AI-powered solutions on AWS.
- The ideal candidate will have a strong background in cloud infrastructure, automation, and AI/ML services, with experience in Terraform and GenAI pipelines.
Key Responsibilities:
- Design and implement scalable and secure AWS environments for AI applications, leveraging services such as EC2, ECS, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
- Develop and maintain Terraform modules to automate environment provisioning, resets, and decommissioning.
- Integrate GenAI solutions (Bedrock, SageMaker) for scenario automation and real-time demo enrichment.
- Collaborate with product teams to evaluate scenarios and implement custom flows.
- Implement role-based access control, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig.
- Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray).
- Support automated QA gates, metrics capture, and post-demo knowledge management.
- Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming, and analyzing data.
Qualifications:
- Minimum 5 years' experience in AWS engineering, with strong C# or Java or Python development skills.
- Terraform expertise for AWS infrastructure as code (IaC).
- Experience with GenAI or ML services (Bedrock, SageMaker, Lambda).
- Professional certification in AWS is preferred.
Benefits:
- Opportunity to work with cutting-edge AI technologies and contribute to innovative projects.
- Chance to collaborate with cross-functional teams and develop expertise in cloud engineering and AI/ML.
- Flexible work environment and opportunities for growth and professional development.