AI Changes How Systems Behave, But Architects Still Own the Design

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A webinar by Matthias Bohlen titled 'Same Job, New Rules' highlights that AI does not eliminate the software architect's role but introduces new risks and responsibilities. Unlike traditional systems where code and settings drive behavior, AI systems are also shaped by models, prompts, training data, and search results, making outputs probabilistic rather than predictable. Architects must still define system boundaries, quality goals, APIs, and fallback strategies, while also applying version control to models, prompts, and source documents. The internal flow of an AI feature involves multiple distinct steps — from input cleaning and data masking to model calls and output validation — each of which can fail independently. Keeping the first AI use case small and ensuring human review of outputs are recommended starting points for teams new to AI architecture.

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