Logo for Huron

Platform Engineer, AI Capability Center Hub

Role overview

Qualifications

  • 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
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

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

About the company

Huron logo

Huron

Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering businesses and their people to own their future. By embracing diverse perspectives, encouraging new ideas, and challenging the status quo, we create sustainable results for the organizations we serve. Learn more at huronconsultinggroup.com.

Company details

Company typeLarge
Company size5001 - 10000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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

As a member of the Huron corporate team, you’ll help to 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.

Key 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.

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.

#LI-REMOTE

#LI-CL1

Position Level

Manager

Country

United States of America

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Platform Engineer Related jobs

Other jobs at Huron

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.