Jobs › Huron Consulting

Senior AI Infrastructure Architect

Huron Consulting · Chicago, IL · $175,000–$245,000 a year · Full time

Posted Sep 16, 2026 · We last checked this listing on Oct 6, 2026

Apply at Huron Consulting

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 infrastructure as code and CI/CD templates you built that other teams adopted.

What they are checking: Whether they build reusable components that others actually use, not one-off scripts.

Requirements for the platform keep changing as governance evolves. How do you build without constant rework?

What they are checking: Whether they design for change with modular patterns and clear interfaces.

Tell me about a production system you operated, not just built. What did on-call teach you?

What they are checking: Whether they have real operating experience, since the role is to build and operate the platform.

What would you do

A team hits its quota in the middle of a client deliverable. What do you do?

What they are checking: Whether they can balance controls with business needs and have a clear exception process.

An agent sandbox starts making unexpected outbound network calls. How do you respond?

What they are checking: Whether they treat it as a security incident, contain it and investigate instead of just restarting it.

About the work

Walk me through how you would build a governed model-access pattern on Amazon Bedrock that teams can self-serve.

What they are checking: Whether they can make the safe path the easy path, with identity, logging and quotas built in.

How would you build a pipeline that reports token usage by user and by project, accurate enough for cost management?

What they are checking: Whether they can design reliable attribution data rather than rough estimates nobody trusts.

How would you deploy a sandbox for coding agents that can run code and call tools?

What they are checking: Whether they understand isolation, egress control and secrets handling for agents that execute code.

How would you mediate agent access to enterprise services through MCP or a similar approach?

What they are checking: Whether they can control which tools an agent can call, with whose identity, and how it is logged.

What observability would you build for an AI platform so you know when something is wrong?

What they are checking: Whether they monitor latency, errors, cost and usage patterns rather than only server health.

Practice this interview out loud.

Offer builds a real interview for this exact role at Huron Consulting from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

Practice this out loud

The full job description

As published by Huron Consulting.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. The Sr AI Infrastructure Architect will design, build, integrate, and operate production platform capabilities that support Huron's governed use of AI. Working across cloud infrastructure, model access, identity, observability, automation, agent execution, and enterprise service integration, this role will turn evolving platform requirements into secure, reusable, and supportable solutions. Responsibilities: • Build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock where applicable. • Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components. • Implement usage telemetry, token reporting, model usage reporting, user attribution, project attribution, quotas, and cost-management data pipelines. • Deploy and operate approved sandbox patterns for coding agents and tool-using agents. • Build governed tool/service mediation patterns for AI applications and agents, including MCP or equivalent approaches where applicable. • Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads. • Build onboarding templates and reference implementations that Client-facing AI Delivery, Enterprise IT, Global Products, analytics, consulting, engineering, and internal operations teams can reuse. • Use AI tools hands-on to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development. • Help define runbooks, support models, incident paths, and operational handoffs. Required Qualifications • 6+ years of experience building and operating production cloud or platform infrastructure, including hands-on experience with AWS, infrastructure as code, automation, or production operations. • Strong infrastructure as code experience. • Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support. • Strong software engineering or scripting skills for automation and platform tooling. • Demonstrated ability to use AI tools as a practical system-building accelerator for infrastructure automation, code generation, debugging, testing, or documentation. • Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns. • Ability to work in ambiguous environments and convert platform requirements into working systems. Preferred Qualifications • Experience with Amazon Bedrock or other managed AI/model platforms. • Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines. • Experience with Temporal or comparable workflow orchestration platforms for durable infrastructure automation, agent workflows, or operational processes. • Experience with containerized or sandboxed execution environments. • Experience with agent tools, MCP, model gateways, API gateways, or secure service broker patterns. • Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads. Flexible living locations across the US. Ability to travel as needed. The estimated base salary for this job is $175,000 - $245,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $201,000 - $306,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level Senior Manager Country United States of America

Apply at Huron Consulting