Mastering the AI System Design Methodology
Details
Designing Intelligent, Safe, and Scalable Systems in the Age of AI.
AI systems behave fundamentally differently from traditional software — they reason, retrieve, learn, and act with autonomy. These behaviors introduce new failure modes: retry storms, inference cost surges, misaligned agent actions, semantic drift, and retrieval errors. Most system design approaches were never built to handle these risks.
This talk presents the A.R.C.H.A.I. Blueprint (AI-Ready Contextual Human-Aligned Initiative) is a modern, AI-first architecture methodology that helps organizations design systems that are safe, scalable, resilient, and aligned with human intent.
Through vivid scenarios drawn from Dreamazon—a fictional global retailer—we show how classical architecture breaks when AI agents interact with APIs, data, and user flows. Attendees learn how to extend the traditional C4 model into C4+, incorporating AI reasoning layers, retrieval paths, guardrails, drift surfaces, and human oversight points.
Participants also engage in an Architecture Lab, applying ARCHAI to design an AI-powered system using real templates, patterns, and safety practices.
This session equips architects, developers, and technical leaders with the frameworks and confidence needed to build AI-first systems responsibly.
Speaker:
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.