Your question is Scalable Enterprise LLM Architecture. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you design a scalable architecture for an enterprise-level LLM deployment?
Explain how you would clarify workload requirements and design the end-to-end platform, including model routing, retrieval-augmented generation, online and batch inference, security, observability, evaluation, and cost controls. Address the tradeoffs between hosted APIs, self-hosted models, and hybrid cloud deployment, along with latency, availability, data governance, model drift, and training-serving consistency.