AI Agent Architecture Interview Questions

Cursor rules are context engineering in disguise.

A production AI coding agent typically includes:

Medium AI Agents interview question on tool schema design and versioning — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on customer support agent system design — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on swarm vs supervisor multi-agent design — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on idempotent tool execution — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on tool calling design best practices — architecture, trade-offs, eval, and production patterns.

Multi-agent orchestration is a senior/staff-level system design question gaining traction at Google DeepMind and Microsoft. Learn the supervisor pattern, shared state management, and how to avoid the 'too many agents' anti-pattern that sinks most candidate answers.

This is an enterprise platform design question spanning agents, MCP, governance, and observability.

Prompt injection is the #1 security interview topic for agents that read untrusted text.

Governance is becoming the bottleneck — not model IQ.

AI observability extends classic APM.

Medium agents platform question on reusable skill packs and governance.

Hard agents ops question on timeouts, circuit breakers, and budget protection.

Medium AI Agents interview question on agent ux: streaming plans and progress — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on long-running agents and checkpoints — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on agent evals with private task suites — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on meta interview: content moderation agents — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on google interview: multi-agent search system — architecture, trade-offs, eval, and production patterns.

Easy AI Agents interview question on when not to use an agent — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent tracing and replay debugging — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on multi-user concurrent agents — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent cost caps and budget controllers — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on coding agent diff review policies — architecture, trade-offs, eval, and production patterns.