AI/ ML CSA
As the name suggests, an AI/ML CSA is responsible for designing and implementing cloud-based AI/ML solutions. Close collaboration with data scientists and data CSAs happens frequently to ensure that AI/ML solutions are designed according to cloud data architecture principles and best practices within the AI/ML area of expertise. Solution architectures need to be scalable, secure, and highly available. This often requires hybrid or burstable workloads, as defined in Chapter 1, Understanding the Responsibilities of a Cloud Solution Architect. Because of the additional complexity, infrastructure CSAs are commonly consulted to ensure established communication routes and security measures are built into the architecture between on-premises and cloud platforms.
As shown in Figure 2.5, the AI/ML CSA provides solution architectures in technology areas that are identical to those the data CSA provides. Because of this overlap, it is very common for there to be a CSA role that...