AI Infrastructure Engineer (Senior Associate)

Huron • Chicago, IL

3d • $138,000 - $189,000

About The Position

The AI Infrastructure Engineer will build, integrate, and operate production platform capabilities supporting Huron’s governed use of AI. Working closely with the AI Infrastructure Architect, the role translates approved reference architectures and platform requirements into secure, reusable, and supportable solutions spanning cloud infrastructure, model access, identity, observability, automation, agent execution, and enterprise service integration. The focus is infrastructure and platform engineering rather than application development, though the position also includes application-adjacent work such as mediation services, integration scaffolding, and reference implementations.

The engineer partners with the AI Capability Center under the Chief AI Officer and teams across Huron to deliver infrastructure and platform components for internal and go-to-market solutions. The role also helps maintain operational documentation, support models, incident paths, and handoffs. The position allows flexible living locations across the United States and may require travel as needed.

Requirements

• At least 3 years of experience building and operating production cloud or platform infrastructure, including hands-on experience with AWS, infrastructure as code, automation, or production operations.
• Solid infrastructure as code experience.
• Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support.
• Software engineering or scripting skills for automation and platform tooling.
• Demonstrated ability to use AI tools as a practical accelerator for infrastructure automation, code generation, debugging, testing, or documentation.
• Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns.
• Ability to take defined patterns and requirements, work through ambiguity with guidance from senior engineers and architects, and deliver working systems.

Nice To Haves

• 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 durable agentic AI orchestration platforms for 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.

Responsibilities

• Build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock where applicable, in partnership with the AI Infrastructure Architect.
• Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components based on approved reference architectures.
• Implement usage telemetry, token and model usage reporting, user and project attribution, quotas, and cost-management data pipelines.
• Deploy and operate approved sandbox patterns for coding agents and tool-using agents.
• Build governed tool and service mediation patterns for AI applications and agents, including MCP or equivalent approaches, following approved designs.
• Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads.
• Build reusable onboarding templates and reference implementations for client-facing AI Delivery, Enterprise IT, Global Products, analytics, consulting, engineering, and internal operations teams.
• Partner with the AI Capability Center under the Chief AI Officer to build and deliver infrastructure and platform components for Huron’s go-to-market teams.
• Use AI tools to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development.
• Help define and maintain runbooks, support models, incident paths, and operational handoffs.
• Travel as needed.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Wellness programs
• Eligible to participate in Huron’s annual incentive compensation program and benefit plans

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed