Three-tier e-commerce architecture on AWS integrating Bedrock AI for intelligent shopping assistants, recommendations, and personalized search across frontend, backend, and database tiers. Traffic flows through Route 53 and CloudFront to an internet-facing ALB, distributing requests to auto-scaled frontend EC2 instances in public subnets across two availability zones. Backend services run on private m5.large instances behind an internal ALB, connecting to a Multi-AZ RDS MySQL cluster with primary-replica configuration for high availability and read scaling. Amazon Bedrock sits outside the VPC, providing AI-driven personalization and chatbot capabilities via secure API calls from the application tier. The architecture includes comprehensive security with AWS WAF, Shield Standard, IAM roles, Secrets Manager, KMS encryption, and Systems Manager Session Manager for secure access. CI/CD automation via GitHub, CodePipeline, and CloudFormation enables rapid iteration and infrastructure-as-code deployments. Fork this diagram on Diagrams.so to customize subnets, instance types, or add additional AWS services like ElastiCache or DynamoDB. This pattern demonstrates AWS best practices for resilience, security, and intelligent application design in production e-commerce environments.