Platform Engineer, AI Capability Center Hub

Huron; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Huron in Chicago seeks an experienced Manager-level AI Platform Engineer to build and run scalable ML pipelines, automate testing, and deploy models into production.

You will set engineering and security standards, provision environments, and create reusable components to accelerate new pods. Requires 5–8 years in ML/AI platforms and proven leadership.

Join a team valuing practical delivery, cloud experience (AWS/Azure), Python, containers, and IaC to drive transformative change.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• 5–8 years in ML/AI platforms or MLOps.
• 1–2 years in leadership roles.
• Hands-on experience running AI systems in production.
• Strong Python proficiency.

Responsibilities

• Build and run CI/CD pipelines with automated testing across pods.
• Provision environments for the pods' build environments.
• Deploy and monitor the models and agents in production.
• Set technical and security standards for every pod.
• Build reusable components so new pods start ahead of the prior one.

Skills

Internal developer platforms

AI testing in production

Healthcare / data security (HIPAA/FERP

AWS/Azure/Kubernetes

Strong Python

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Infrastructure as Code

Job description

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build stronger clients, individuals and communities. We’re helping our clients drive growth, enhance business performance and sustain leadership in the markets they serve. We’re developing strategies and implementing solutions that enable transformative change to own their future.

As a member of the Huron corporate team, you’ll help evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.

Join our team and create your future.

This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.

Responsibilities

• Build and run the pipelines. CI/CD with automated testing across the pods.
• Provision the environments. Set up and run the environments the pods build in.
• Deploy and monitor. The models and agents the pods put into production.
• Set the standards. Technical and security standards every pod builds to.
• Build reusable parts. So each new pod starts further ahead than the last.

Preferred Qualifications

• Building internal developer platforms.
• AI testing and monitoring in production.
• Healthcare or higher education with data-security awareness (HIPAA, FERPA).
• AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).

General Required Skills

• 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.
• Hands-on running AI systems in production.
• AWS and Azure, Docker, Kubernetes, infrastructure as code.
• Strong Python.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Compensation and Benefits

The estimated base salary for this job is $140,000 - $170,000 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 $161,000 - $218,750 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 Level

Manager

Country

United States of America