Palantir AI AI Architect Interview Questions

Hard AI Agents interview question on customer support agent system design — 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.

Cursor rules are context engineering in disguise.

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

Part 3 of the hallucination handbook — production defense layers from retrieval and prompting through guardrails, citations, confidence scoring, eval frameworks, and enterprise architecture. Asked at OpenAI, Google, Meta, Anthropic, Microsoft, and Amazon.

**Graph structure** draft → auto_checks → legal_subgraph → manager_subgraph → publish; reject edges loop to draft with comments in state.

**State schema** ticket_id, customer_tier, messages, retrieved_docs, proposed_actions, sentiment, escalation_reason, resolution_code.

Multi-server hosts are production reality — GitHub + Jira + DB + docs + internal APIs. Poor design creates tool soup.

Enterprise MCP rarely connects laptops directly to SaaS MCP servers. The gateway is the control plane interviewers want you to design.

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

Medium AI Agents interview question on tool schema design and versioning — 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.

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.

Hard AI Agents interview question on building an internal agent marketplace — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on a2a / agent-to-agent protocols — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on stateful agents across sessions — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on agent failure modes and recovery — architecture, trade-offs, eval, and production patterns.

Medium AI Agents interview question on parallel tool calls and fan-out — architecture, trade-offs, eval, and production patterns.

Hard AI Agents interview question on agent permissions and least privilege — architecture, trade-offs, eval, and production patterns.