Mastering the AI System Design Methodology
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),
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.
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Key Skills You Will Learn
•How to design systems that incorporate AI reasoning and autonomous behavior
•How to extend C4 into C4+, modeling intelligence, retrieval, guardrails, and safety layers
•How to build AI-safe flows with idempotency, retry constraints, and ambiguity handling
•How to architect Retrieval-Augmented Generation (RAG) and agent orchestration
•How to map business capabilities and value chains for AI transformation
•How to identify AI-specific failure patterns and design to prevent them
•How to define drift detection, cost ceilings, and guardrail policies
•How to create an AI-first governance and ownership model
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What You Will Take Away
•A complete understanding of the A.R.C.H.A.I. Blueprint
•A reusable C4+ architecture template for designing AI systems
•Practical patterns to prevent runaway AI behavior, duplication, and cost explosions
•A framework for aligning AI systems with business intent and human oversight
•Tools for modeling retrieval boundaries and agent interaction flows
•A clear professional roadmap for becoming an AI-first architect
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Agenda
•Why traditional system design breaks when AI agents enter the system
•Realistic case studies from Dreamazon’s Black Friday failures
•Introduction to the A.R.C.H.A.I. Blueprint
•How to apply the six pillars to real-world AI use cases
•Extending the C4 model into C4+ for AI architecture
•Modeling reasoning paths, retrieval pipelines, and safety constraints
•Architecture Lab: Building an AI-ready system using ARCHAI
•Design templates, scorecards, and guardrail patterns
•Roadmap for evolving into an AI-first architect
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1