Senior Advanced AI Platform Engineer

HoneywellAtlanta, GA
4hHybrid

About The Position

As a Senior Advanced AI Platform Engineer here at Honeywell, you will lead the design and development of AI algorithms, models, and systems. You will act as the subject matter expert for AI projects and drive technical excellence. You will report directly to our Senior Director of Engineering, and you’ll work out of our Atlanta, GA location on a Hybrid work schedule. We are seeking a Senior Advanced AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent building automation across a global portfolio. You will work at the intersection of data engineering, machine learning operations, and edge AI — building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems. This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Responsibilities

  • Lead the design and development of AI algorithms, models, and systems.
  • Act as the subject matter expert for AI projects
  • Drive technical excellence
  • Building production-grade infrastructure that processes billions of IoT events from building management systems
  • Deploys models to edge devices
  • Enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems.
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