Deep explanation
System design: a financial research assistant with Azure AI
Mid-level system design: build a cited financial research assistant on Azure OpenAI, Azure AI Search, and Document Intelligence with Entra ID, private endpoints, per-user security trimming, quota planning, and groundedness evaluation.
Quick answer
I would ingest documents with Azure AI Document Intelligence, chunk and embed them, and store them in Azure AI Search with hybrid search and document-level permissions. An API layer retrieves the top chunks for each question, sends them to an Azure OpenAI chat deployment with strict citation rules, and returns the answer with links. Everything runs behind Entra ID and private endpoints, and I gate releases on a groundedness and citation-accuracy evaluation set built with analysts.
The interview question
Design a financial research assistant for analysts on Azure. It must answer questions over internal research notes, earnings call transcripts, and filings, cite its sources, and keep client and deal data private. Which Azure AI services would you use, how do the pieces connect, and how do you handle security, scaling, evaluation, and rollout?
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