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Engineering Manager - GenAI, AI & Data Platforms (AiDP)

Apple
United Statesfull_timeVerifiedPosted 23 Apr 2026

About the role

Summary

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

As an Engineering Manager on the Applied Machine Learning team, you will lead a team of software engineers building tools and platforms at scale that power Apple's enterprise GenAI efforts. You'll be responsible for the technical execution and delivery of a GenAI platform with distributed compute, storage, ingestion, and inference. You'll be working with a team of software engineers and machine learning engineers to build RAG and Agentic platform components. If you have a deep understanding of distributed systems, generative AI, a strong engineering background, and leadership experience, then this role may be a great one for you! In this role, you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across Apple. You will work cross-functionally with key internal partners, researchers, product teams, and platform engineers to develop and deliver our products.

Preferred Qualifications

Track record of leading teams and delivering complex AI projects from conception to production
Strong communication skills
Understanding of LLM inference and deployment
Understanding of RAG and Agentic systems
Past experience leading a scalable platform team

Minimum Qualifications

10+ years of experience working on distributed systems
6+ years of experience in a management or leadership role
Deep understanding of GenAI fundamentals
Deep understanding of Java, C, C++, or similar programming language
Deep understanding of distributed systems like Flink, Spark, NoSQL, etc.
Bachelor's degree in Computer Science or equivalent.

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Company

Apple

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