MangaAssist Interview Pack - Architect Level

Level: Architect Level
What this tests: Business alignment, strategic design, operating model, platform evolution, and the ability to make architecture decisions under uncertainty.

Architect Lens

mindmap
  root((MangaAssist Strategy))
    Business
      Conversion
      Support Deflection
      Customer Trust
    Architecture
      Hybrid Routing
      Safe Generation
      Live Data Boundaries
    Operations
      SLOs
      On-call
      Canary Releases
    Governance
      Privacy
      Access Control
      Auditability
    Evolution
      Multi-storefront
      Multi-region
      Action-taking assistant

Interview Questions

Enterprise Architect

1. Defend the core architectural choice of hybrid routing instead of sending every request through a single large-context LLM workflow.
2. Which system boundaries in MangaAssist are likely to remain stable for years, and which ones should be designed for churn from day one?

Director of Engineering

1. How would you organize team ownership across frontend, orchestration, ML, data, security, and support integration so this system can move quickly without turning into a coordination bottleneck?
2. What launch scope would you choose for version one, and what would you intentionally leave out even if stakeholders asked for it?

VP Product

1. How would you prove that the chatbot deserves continued investment beyond being an interesting AI feature?
2. If customer trust drops because of a few high-visibility wrong answers, what would your recovery plan look like technically and organizationally?

Principal Architect

1. How would you evolve this system from answering questions to safely taking actions such as adding to cart, initiating returns, or subscribing to alerts?
2. What would you change in the current architecture before taking this system multi-region and multi-storefront at the same time?

Distinguished Engineer

1. What is the most important unresolved ambiguity in the current project documents, and how would you force a decision before full-scale implementation?
2. Under what conditions would you shut this project down, pivot it, or fold it into a broader retail-assistant platform?

Evolution Diagram

graph TD
    A[MVP: Guided Shopping Assistant] --> B[V2: Better personalization]
    B --> C[V3: More post-purchase automation]
    C --> D[V4: Multi-storefront platform]
    D --> E[V5: Action-taking retail agent]

    A --> A1[Discovery + FAQ + handoff]
    B --> B1[Better ranking + feedback loops]
    C --> C1[Returns + order workflows]
    D --> D1[Shared orchestration + per-domain skills]
    E --> E1[Safe transactional actions]