AI pipeline architecture design — development pipelines, production pipelines, data stores, model registry, CI/CD for AI, and non-functional requirements. This skill should be used when the user asks to "design AI pipelines", "architect ML pipelines", "select data stores for AI", "design model registry", "implement CI/CD for ML", "define AI pipeline requirements", or mentions MLOps, training pipeline, inference pipeline, feature pipeline, Blue and Gold deployment, or pipeline patterns.