Remote Senior AI Infrastructure Architect

Huron Consulting Group; Chicago (IL); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Employee stock purchase plan

Paid time off

Parental leave

Job summary

Huron Consulting Group seeks a Sr AI Infrastructure Architect to design, build, and operate production platform capabilities for governed AI across cloud infrastructure, model access, identity, observability, automation, agent execution, and enterprise service integration.

The role focuses on turning evolving platform requirements into secure, reusable solutions and collaborating with client-facing teams to accelerate infrastructure coding, runbooks and reference implementations.

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.

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.

Skills

Infrastructure as code

Cloud infrastructure

Software engineering

AI tooling

Tools

AWS

Terraform

Temporal

Bedrock

Job description

Huron Consulting Group seeks a Sr AI Infrastructure Architect to design, build, and operate production platform capabilities for governed AI across cloud infrastructure, model access, identity, observability, automation, agent execution, and enterprise service integration.

The role focuses on turning evolving platform requirements into secure, reusable solutions and collaborating with client-facing teams to accelerate infrastructure coding, runbooks and reference implementations.