AI Platform Engineer; Hybrid

Overview

See What We’re All About. As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change—and if you know a few jokes, that puts you on the top of our list!

Description
Position at Parts Town

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times.

We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

Perks

• Parts Town Pride – check out our virtual tour and culture!
• Quarterly profit-sharing bonus
• Hybrid Work schedule
• Team member appreciation events and recognition programs
• Volunteer opportunities
• Casual dress code
• On-demand pay options:
  Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

The Job at a Glance

The AI Platform Engineer designs and governs clean, reusable data and semantic models that enable scalable, reliable AI systems. Partnering with AI and Enterprise Data teams, this role builds AI-serving pipelines and transformation layers on GCP while balancing performance, governance, and long-term platform scalability.

A Typical Day

• Design and maintain AI-serving data pipelines that support production AI workflows
• Develop and manage structured data models, transformation logic, and semantic objects used in AI systems
• Support ontology development and governance within enterprise platforms for AI use cases
• Partner with the Enterprise Data team to ensure AI-serving transformations and semantic models align with foundational data standards and avoid duplication of business logic
• Improve data reliability, observability, and performance monitoring practices to support customer-facing and business-critical AI capabilities
• Collaborate closely with Applied AI Engineers to enable seamless integration of AI solutions into production environments
• Establish reusable data and semantic patterns that enable AI solutions to scale efficiently across multiple use cases
• Advance, maintain, and govern AI-serving data and semantic layers that enable reliable, scalable AI solutions.

To Land This Opportunity

• You have strong experience in data modeling, relational design, and structured system architecture
• You are proficient in Python and SQL, including experience designing scalable transformation logic
• You have experience building and maintaining production-grade data pipelines
• You have experience working with cloud data platforms (GCP preferred)
• You have a systems-thinking mindset with attention to governance, abstraction, and architectural clarity
• You have experience supporting ML- or AI-driven systems
• You have strong communication skills with experience articulating technical concepts to both technical and non-technical stakeholders
• You have experience with enterprise data platforms
• You are familiar with infrastructure-as-code or modern Dev Ops practices

About Your Future Team

The AI team is a hands‑on, high‑impact group dedicated to building AI solutions that get used. We partner closely with teams across the business, data, and engineering to turn real‑world problems into smart, practical systems. It’s a fast‑moving environment where you’ll have real ownership, work alongside curious and collaborative teammates, and be encouraged to try new ideas and iterate quickly. In this role, you’ll help shape how AI comes to life across the organization and be part of…