AI architecture design involves creating a structured framework to support the development, deployment, and scaling of artificial intelligence models. This architecture typically includes components for data collection, preprocessing, model development, and deployment, with considerations for scalability, performance, monitoring, security, and continuous integration. It aims to create a robust and efficient system that can handle various stages of the AI development lifecycle, ensuring seamless integration and reliable performance of machine learning models.