AI Solutions Architect (.Net with databricks)

Chicago, IL

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Do you have work authorization to work in Canada?

Yes

This job requires you to work out of Chicago. Are you fine with it?

Yes

Describe a production AI system you architected using .NET and Azure — not a prototype, not a POC. What was the business problem, what did you build with Azure OpenAI or Semantic Kernel in C#, and what broke in production that you had to fix?

Describe a Databricks lakehouse you owned end to end — not contributed to, but designed and governed. Walk me through your Medallion layer decisions, how you handled schema evolution in Delta Lake, and how Unity Catalog enforced governance across teams.

Your RAG system is returning irrelevant chunks and users are getting hallucinated answers. Without swapping the LLM, name three specific things you would fix in the retrieval layer and tell me exactly how you would measure whether each fix worked.

Describe how you connected a Databricks data platform to a production AI or LLM system. How did features or embeddings flow from Databricks into the inference layer, how was the model retrained and promoted, and what monitored the pipeline end to end?

Tell me about a technology or architecture decision you personally changed or killed at the VP or CTO level — not a peer debate, but a leadership decision. What was the decision, how did you frame the risk in business terms, and what was the outcome?

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