We Need to Talk About AI Agent Architectures

Walk through how to take your AI agent from a simple demo to a production-ready system. Learn essential architectural patterns and avoid common pitfalls in deploying agents at scale. Whether you're a data scientist, developer, or solutions architect, this video will equip you with the knowledge to design and deploy AI agents that can handle real-world demands. We'll go through multiple iterations of agent architecture, demonstrating how to improve your system's security, scalability, and maintainability. Full Code Example on Github: https://go.aws/4bW1Qxy Follow AWS Developers! 📺 Instagram: https://go.aws/4c0G9MW 🆇 X: https://go.aws/40fMuwJ 💼 LinkedIn: https://go.aws/46TIbuE 0:00 Introduction to AI Agent Architecture 3:45 Common Architectural Mistakes 7:30 Separation of Concerns in AI Systems 12:15 Basic API Gateway Architecture 18:00 Implementing Proper Authentication 23:30 Adding Business Logic and Memory 29:00 Advanced Architecture with Lambda and DynamoDB 34:00 Recap and Best Practices #AWS #AmazonBedrock #AgentCore