Principal AI Infrastructure Architect

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Chicago, IL, USA
In-Office
190K-357K Annually
Expert/Leader
Consulting
The Role
Lead design and implementation of an enterprise AI operations platform: define reference architectures, govern model access, build infrastructure-as-code patterns, implement telemetry and cost attribution, integrate security and observability, and produce reusable deployment templates, runbooks, and operational tooling while guiding workload onboarding.
Summary Generated by Built In

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 Principal AI Infrastructure Architect will serve as the senior technical authority for the AI operations platform. This role defines and builds the hardest platform patterns for governed model access, identity, networking, infrastructure as code, usage telemetry, project attribution, sandbox deployment, service mediation, and operational tooling.
This is a principal-level expert builder/architect role who must be able to design the platform, implement critical components, guide technical decisions, and turn governance requirements into reusable infrastructure patterns.

Key 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.
  • Partner with the AI Security, Governance, Knowledge, and Observability Engineer to implement controls, knowledge access, evaluation, and audit evidence through automation.
  • 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.

Required Qualifications

  • 10+ years of experience designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems, including 5+ 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.

Preferred Qualifications

  • Experience with Amazon Bedrock or equivalent enterprise model access platforms.
  • Experience with MCP or comparable governed tool/service mediation patterns.
  • Experience with Temporal or comparable workflow orchestration platforms for durable platform automation, agent workflows, or long-running AI operations.
  • Experience with sandboxed execution, coding agents, secure agent runtimes, or developer workspaces.
  • Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines.
  • Experience with regulated or client-confidential workloads

Flexible living locations across the US. Ability to travel as needed.

The estimated base salary for this job is $190,000 - $265,000 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 $237,000 - $357,000 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 LevelDirector

CountryUnited States of America

Skills Required

  • 10+ years designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems, including 5+ 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
  • Experience with Amazon Bedrock or equivalent enterprise model access platforms
  • Experience with MCP or comparable governed tool/service mediation patterns
  • Experience with Temporal or comparable workflow orchestration platforms for durable platform automation or agent workflows
  • Experience with sandboxed execution, secure agent runtimes, or developer workspaces
  • Experience with token/cost telemetry, usage attribution, chargeback/showback, or FinOps data pipelines
  • Experience with regulated or client-confidential workloads

Huron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Huron and has not been reviewed or approved by Huron.

  • Retirement Support — Retirement programs include a company 401(k) match positioned as a core element of total rewards, signaling strong long‑term savings support. Company materials and filings describe a competitive match structure with broad availability.
  • Equity Value & Accessibility — An employee stock purchase plan provides company‑matched RSUs on purchased shares and is broadly accessible across the workforce, indicating meaningful equity participation. Company filings outline the plan’s match design and wide eligibility.
  • Leave & Time Off Breadth — Policies emphasize flexible/unlimited PTO, paid holidays, and parental leave with caregiving resources, reflecting expansive time‑off options. Careers and benefits pages present flexibility and time away as core components of the package.

Huron Insights

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The Company
HQ: Chicago, IL
3,753 Employees
Year Founded: 2002

What We Do

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. By embracing diverse perspectives, encouraging new ideas and challenging the status quo, we create sustainable results for the organizations we serve.

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