Senior AI Infrastructure Architect & Platform Lead

Huron Consulting Group Inc.; Chicago (IL); On-site; USD 175,000 - 245,000; Full time

Job summary

Huron Consulting Group Inc. is seeking an AI Infrastructure Architect to lead the design and implementation of a governed AI operations platform within AI Operations.

You will craft patterns for model access, identity, networking, and infrastructure as code, guiding platform engineers and collaborating with security and governance functions. The role emphasizes hands-on platform engineering, reusable runbooks, telemetry, cost reporting, and scalable patterns for secure production deployments

Qualifications

• 8+ years of experience designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems, including 4+ years with AWS or equivalent cloud infrastructure.
• Strong AWS architecture experience, including identity, networking, logging, observability, infrastructure as code, security boundaries, and production operations.
• Strong hands-on engineering skills in at least one modern programming language and infrastructure automation framework.
• Demonstrated ability to use AI tools as a practical system-building accelerator for platform engineering, automation, code generation, code review, testing, or documentation.
• Experience with APIs, service integration, secure deployment patterns, event-driven systems, or platform automation.
• Ability to design for security, auditability, cost visibility, operational reliability, and reuse.
• Experience translating business, governance, and risk requirements into pragmatic engineering patterns.

Responsibilities

• Serve as hands-on technical lead for AI reference architecture, workload patterns, control-plane boundaries, model access, agent execution, and integration decisions.
• Define and build approved patterns for Amazon Bedrock, model access, networking, identity, logging, data flow, and production deployment.
• Design core AI control-plane patterns for registration, policy enforcement, usage tracking, attribution, quotas, audit reporting, and exception handling.
• Build reusable infrastructure as code, deployment templates, automation, sandbox patterns, MCP or equivalent service mediation, and operational tooling.
• Lead implementation of usage telemetry, token reporting, user attribution, project attribution, and cost-management data pipelines.
• Provide technical direction and mentorship to AI infrastructure engineers, including design and code review.
• Partner with security, governance, knowledge, and observability functions to implement controls, knowledge access, evaluation, and audit evidence through automation.
• Partner with the AI Capability Center under the Chief AI Officer to deliver the infrastructure and platform foundations, with targeted prototyping, behind solutions for Huron's go-to-market teams.
• Use AI tools hands-on to accelerate architecture design, infrastructure coding, code review, testing, documentation, troubleshooting, and operational improvement.
• Review and guide priority workload onboarding to ensure use cases follow approved architecture and operating patterns.
• Document reference architectures, implementation patterns, runbooks, and engineering standards.

Skills

Cloud architecture

Platform engineering

Infrastructure as code

Security & governance

Cost visibility

Tools

AWS

Bedrock

Kubernetes

Job description

Huron Consulting Group Inc. is seeking an AI Infrastructure Architect to lead the design and implementation of a governed AI operations platform within AI Operations.

You will craft patterns for model access, identity, networking, and infrastructure as code, guiding platform engineers and collaborating with security and governance functions. The role emphasizes hands-on platform engineering, reusable runbooks, telemetry, cost reporting, and scalable patterns for secure production deployments