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AI Engineering Manager

Chamberlain Group
Oak Brook, IL
On-site

About this role

Job title: AI Engineering Manager

Chamberlain Group is seeking an AI Engineering Manager to lead engineering teams building AI capabilities that power intelligent, connected home experiences. This US-based leadership role manages a distributed team responsible for real-time data serving infrastructure, the agentic interface and LLM orchestration layer, and ML models that detect anomalies and surface insights for customers. The role works with cross-functional teams across architecture, product, AI/ML Ops, and the Video Intelligence team to deliver the platform as a unified source of truth.

What You'll Do

  • Lead and grow engineering teams focused on AI capabilities powering real-time data serving infrastructure for personalized, low-latency experiences.
  • Oversee the agentic interface and LLM orchestration layer enabling intelligent interactions with customers.
  • Guide the development of machine learning models that detect anomalies and surface insights to keep customers informed and in control of their connected home.
  • Partner with cross-functional teams across architecture, product, AI/ML Ops, and the Video Intelligence team to deliver the platform as a unified source of truth.
  • Mentor engineers, define roadmaps, and drive delivery of high-impact features that scale across distributed environments.

What We're Looking For

  • Proven experience leading distributed engineering teams in AI/ML or data infrastructure environments.
  • Strong background in AI capabilities, real-time data serving, and ML model development.
  • Ability to collaborate effectively with architecture, product, AI/ML Ops, and Video Intelligence teams.
  • Excellent communication, leadership, and stakeholder-management skills.
  • Passion for building reliable, scalable platforms that power personalized customer experiences.

Nice to Have

  • Experience collaborating with AI/ML Ops and Video Intelligence teams.
  • Familiarity with real-time streaming data pipelines and LLM orchestration.

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