Senior AI Infrastructure Engineer: Cloud & Governance

Huron; United States; Remote; USD 120,000 - 165,000; Full time

Benefits offered by this job

401(k) matching

Stock purchase plan

Paid Time Off

Parental leave

Wellness program

Job summary

Huron is seeking an AI Infrastructure Engineer to design, build, and operate production platform capabilities that enable governable AI usage across the enterprise. You will work with the AI Infrastructure Architect to implement model-access patterns, IaC, and tooling that support secure, scalable automation, agent execution, and cloud integration.

The role emphasizes infrastructure and platform engineering rather than application development, with responsibilities spanning logging, monitoring,

Qualifications

• 3+ years of experience building and operating production cloud or platform infrastructure.
• 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 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 take defined patterns and requirements, work through ambiguity with guidance from senior engineers and architects, and deliver working systems.

Responsibilities

• Work with the AI Infrastructure Architect to build and operate approved model-access patterns for governed AI usage.
• Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components from approved reference architectures.
• 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.
• Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads.
• Build onboarding templates and reference implementations for Client-facing AI Delivery and other teams.
• Partner with the AI Capability Center to build and deliver the infrastructure and platform components behind solutions for go-to-market teams.
• Use AI tools hands-on to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development.
• Help define and maintain runbooks, support models, incident paths, and operational handoffs.

Skills

Cloud infrastructure

AWS

IaC

Automation

AI tooling

APIs

Event-driven systems

Security patterns

Ambiguity management

Tools

AWS

CI/CD

IAM

Secrets management

Job description

Huron is seeking an AI Infrastructure Engineer to design, build, and operate production platform capabilities that enable governable AI usage across the enterprise. You will work with the AI Infrastructure Architect to implement model-access patterns, IaC, and tooling that support secure, scalable automation, agent execution, and cloud integration.

The role emphasizes infrastructure and platform engineering rather than application development, with responsibilities spanning logging, monitoring,