AI/ML Architect, Retail and Marcom Engineering
Apple, Sunnyvale, California
About the job
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers. The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.
Description
We're seeking a visionary AI/ML Architect to shape the technical strategy behind Apple's globally-led creative marketing team. You will define the architecture for cutting-edge AI/ML solutions, directly influencing how millions of Apple customers experience our brand. Lead the design of systems involving GenAI LLMs, Graph RAG, and multi-modal models, architecting intelligent agentic workflows that redefine what's possible. If you're ready to set the technical direction for AI/ML at a global scale, this is your opportunity. As an AI/ML Architect, you'll define the technical vision and architecture for intelligent experiences, owning the end-to-end system design across the machine learning lifecycle. Partnering with business and engineering stakeholders, you'll define AI/ML architecture strategy, evaluate build vs. buy tradeoffs, and establish design patterns that leverage LLM technologies to unlock new insights at scale. Your expertise will guide multiple teams on architectural best practices for LLM and GenAI usage, ensuring platform scalability, reliability, and long-term maintainability. You'll architect complex AIOps systems, establishing frameworks for clustering, classification, anomaly detection, and capacity prediction to optimize our systems.