Job description
Would you like to help shape how AI and modern data engineering & analytics come together to power Apple's Business and Education products, at a scale that touches millions of enterprises, schools, and the devices and services they depend on? Apple's Business and Education organization builds the infrastructure, platforms, and services behind Apple's offerings for enterprise and education customers: device management, identity, and subscription services, and the classroom apps built on top of them. Our team owns the data engineering behind all of it, from pipelines and lakehouse architecture through analytics reporting, and we are building a new generation of AI-native capabilities on top: agents, intelligent workflows, and self-serve analytics that change how our Data Engineering, Analytics, and Data Science teams work. The ambition is to define what an AI-first data organization looks like at Apple scale.
We are looking for a well-rounded builder. You spent the earlier part of your career deep in software, data, or ML engineering, and the last few years applying that foundation to ship Applied AI products end-to-end. You think architecturally, you know where LLMs and agents earn their keep and where deterministic code is the better answer, and you would rather measure a system's quality than argue about it.
We are looking for a well-rounded builder. You spent the earlier part of your career deep in software, data, or ML engineering, and the last few years applying that foundation to ship Applied AI products end-to-end. You think architecturally, you know where LLMs and agents earn their keep and where deterministic code is the better answer, and you would rather measure a system's quality than argue about it.