Senior AI Infrastructure Engineer – Cloud & Automation

Huron; Oregon; Hybrid; USD 120,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Annual incentive compensation program

Travel flexibility

Job summary

Huron is seeking an AI Infrastructure Engineer to design, build, and operate production platform capabilities that enable governed AI across cloud environments. You will partner with AI Infrastructure Architect to implement reference architectures, automation, and secure containerized runtimes.

You will focus on infrastructure and platform engineering, delivering reusable components, mediation services, and runbooks while ensuring scalable, compliant delivery for go-to-market teams and internal

Qualifications

• 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 system-building accelerator for infrastructure automation, code generation, debugging, testing, or documentation.
• Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns.

Responsibilities

• Work with the AI Infrastructure Architect to build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock where applicable.
• 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, following approved designs.
• Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads.
• Build onboarding templates and reference implementations that Client-facing AI Delivery, Enterprise IT, Global Products, analytics, consulting, engineering, and internal operations teams can reuse.
• Partner with the AI Capability Center under the Chief AI Officer to build and deliver the infrastructure and platform components behind solutions for Huron's 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

AWS

Infrastructure as code

Automation

Scripting

CI/CD

Tools

Terraform

AWS IAM

CloudWatch

Job description

Huron is seeking an AI Infrastructure Engineer to design, build, and operate production platform capabilities that enable governed AI across cloud environments. You will partner with AI Infrastructure Architect to implement reference architectures, automation, and secure containerized runtimes.

You will focus on infrastructure and platform engineering, delivering reusable components, mediation services, and runbooks while ensuring scalable, compliant delivery for go-to-market teams and internal