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# Senior AI Infrastructure Architect

- **Company:** Huron Consulting Group Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $175,000 - $245,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Generation, Continuous Delivery, Continuous Integration, Software Debugging, Identity and Access Management, IT Management, Key Management, Service-Oriented Architecture, Software Engineering, AI Infrastructure, Data Logging, Scripting, Software Security, Event Driven Architecture, Infrastructure Automation Frameworks, Amazon Bedrock, Deployment Automation, Data Management, Api Gateway, Data Pipelines
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-infrastructure-architect-chicago-il--4219248e-7104-413f-bb79-a8b4ea68f6df

## About the Role

Artificial Intelligence (AI), Automation, Cloud Computing, Artificial Intelligence (AI), Architectural Design, Continuous Deployment/Delivery, Continuous Integration, Telemetry, Data Management, Sales Pipeline, * 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., * 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.

## Description

* 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.