Senior AI Infra Architect & Platform Lead

Huron; Chicago (IL); Remote; USD 175,000 - 245,000; Full time

Benefits offered by this job

Annual incentive compensation

Medical, dental and vision coverage

Wellness programs

Job summary

Huron is seeking an AI Infrastructure Architect to lead the technical architecture for the AI operations platform across the enterprise. You will define platform patterns for governed model access, identity, networking, infra as code, telemetry, sandbox deployment, and service mediation, while guiding engineers with hands-on contribution.

Based in the US, this Senior Manager role reports to the Director of AI Operations and partners with security, governance, and the AI Capability Center to

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 and audit evidence through automation.
• Partner with the AI Capability Center to deliver the infrastructure foundations for 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 alignment with architecture and patterns.
• Document reference architectures, implementation patterns, runbooks, and engineering standards.

Skills

Cloud platforms design

AWS architecture

Programming & IaC

AI tooling

APIs & integration

Security & reliability

Governance patterns

Tools

Amazon Bedrock

MCP patterns

AI orchestration

Sandboxed execution

FinOps telemetry

Regulated workloads

Mentoring engineers

Job description

Huron is seeking an AI Infrastructure Architect to lead the technical architecture for the AI operations platform across the enterprise. You will define platform patterns for governed model access, identity, networking, infra as code, telemetry, sandbox deployment, and service mediation, while guiding engineers with hands-on contribution.

Based in the US, this Senior Manager role reports to the Director of AI Operations and partners with security, governance, and the AI Capability Center to