Platform Engineer, AI Capability Center Hub

Huron
Chicago, Toronto
Workplace: RemoteFull timeUSD 140,000 - 170,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 5-8 yearsEducation: bachelorsSkills: ["Leadership"]

Build and run shared platform pipelines used across pods, enabling CI/CD with automated testing. Provision pod environments, deploy AI models and agents to production, and monitor performance and reliability. Establish technical and security standards so each pod starts with reusable building blocks. Apply hands-on MLOps and AI platform experience using AWS/Azure, Python, Docker, Kubernetes, and infrastructure-as-code to support production-grade AI systems.

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FursaFursa
Huron
Huron
1 month ago

Platform Engineer, AI Capability Center Hub

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 days agoStatus: Live

Job Summary

Build and run shared platform pipelines used across pods, enabling CI/CD with automated testing. Provision pod environments, deploy AI models and agents to production, and monitor performance and reliability. Establish technical and security standards so each pod starts with reusable building blocks. Apply hands-on MLOps and AI platform experience using AWS/Azure, Python, Docker, Kubernetes, and infrastructure-as-code to support production-grade AI systems.
Location: Chicago, Toronto
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Manager level

Key Responsibilities

  • •Build and run platform pipelines with CI/CD and automated testing across pods.
  • •Provision environments used by pods and support the end-to-end environment lifecycle.
  • •Deploy and monitor AI models and agents that pods put into production.
  • •Define technical and security standards that every pod follows.
  • •Create reusable platform components so each new pod starts further ahead.

Pay and Benefits

Salary: USD 140,000 - 170,000 annually
Perks:Health InsuranceDentalVision

Key Requirements

  • •5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.
  • •Hands-on experience running AI systems in production.
  • •Experience with AWS and Azure plus Docker, Kubernetes, and infrastructure as code.
  • •Strong Python skills.
  • •Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Experience:5-8 yearsMLAIMLOps
Education:Bachelor's in Computer Science, Engineering, or related field
Skills:Leadership
Certifications:Azure AI-102CKA
Tech Stack:AWSAzureDockerKubernetesInfrastructure as codeCI/CDPythonAIMLOpsDevOpsAI-102

Company Brief

Huron
Huron is a global professional services firm providing consulting and advisory services across healthcare, higher education, life sciences, and commercial sectors, focusing on strategy, operations, technology, and financial transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Chicago, United States
Founded: 2002
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn