About This Architecture

AWS Full-Stack AI Platform Architecture integrates CI/CD automation, containerized web services, and multi-agent LLM orchestration across ECS Fargate, Lambda, and Step Functions. The platform routes user requests through ALB to React frontend and FastAPI backend, which coordinate specialized agents—Audience Agent (Nova Premier), SQL Agent (Enterprise Data), and Strategies Agent (Claude 3.7 Sonnet)—for intelligent query execution. Data flows through Redshift, Aurora, DynamoDB, and S3 with session management, while AWS IAM, Secrets Manager, CloudWatch, GuardDuils, and WAF enforce security and observability across the VPC. This architecture demonstrates production-grade patterns for serverless agent coordination, polyglot data storage, and secure multi-tenant AI workloads. Fork and customize this diagram on Diagrams.so to adapt agent models, add additional Lambda functions, or modify data layer topology for your enterprise AI use case.

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How do I architect a production AI platform on AWS that coordinates multiple LLM agents with enterprise data sources?

This diagram shows a full-stack AWS AI platform where FastAPI backend orchestrates specialized agents (Audience Agent, SQL Agent, Strategies Agent) via Step Functions and Lambda, routing queries to Redshift and Aurora while maintaining security with IAM, WAF, and GuardDuils. The architecture uses ECS Fargate for stateless services, DynamoDB for sessions, and ElastiCache for performance, demonstrat