Principal AI Infrastructure Architect
Posted Aug 4, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a platform you designed and also built critical parts of yourself.
What they are checking: Whether they are the hands-on builder the posting asks for, not only an architect who draws diagrams.
How do you guide technical decisions when you disagree with another senior engineer?
What they are checking: Whether they lead as the technical authority through reasoning, not through rank.
What would you do
Teams keep going around the platform to call models directly because it is faster. What do you do?
What they are checking: Whether they fix the platform's friction rather than only adding enforcement.
A senior leader wants to adopt a new model provider immediately. How do you evaluate it?
What they are checking: Whether they weigh security, data handling and cost before adding a provider to the platform.
About the work
Walk me through how you would design governed model access through Amazon Bedrock for an enterprise.
What they are checking: Whether they can build a central access layer with identity, logging and policy instead of scattered direct calls.
What belongs in an AI control plane, and where would you draw its boundaries?
What they are checking: Whether they can separate registration, policy, telemetry and execution concerns cleanly at the architecture level.
How would you attribute model usage and cost to users and client projects?
What they are checking: Whether they can design usage telemetry that supports chargeback, quotas and accountability.
How would you design a sandbox for coding agents so they cannot reach things they should not?
What they are checking: Whether they think about network isolation, secrets and permissions for agents that run code.
How do you structure infrastructure as code so many teams can reuse your patterns safely?
What they are checking: Whether they build modular, versioned patterns that others can adopt without breaking things.
How would you mediate agent access to internal services, for example through MCP or a similar approach?
What they are checking: Whether they understand how to give agents tools while controlling identity and permissions per call.
What networking and identity design would you use so model traffic never crosses the public internet?
What they are checking: Whether they know private connectivity and identity federation patterns in AWS.
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Practice this out loudThe full job description
As published by Huron Consulting.