Huron

1 week 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 hours 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: 3.8

Website LinkedIn

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Huron

1 week 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 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn