Principal AI Architect, App Store Data
Apple - Cupertino, United States of America
Posted May 20, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Principal AI Architect, App Store Data Cupertino, United States of America Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. Our team enables data-driven innovation for internal and external partners, while maintaining data quality, privacy, and engineering excellence as first-class citizens. We're looking for a highly skilled hands-on Principal AI Architect with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. In this role, you will design and ship AI systems that make App Store data useful, safe, and actionable - from agentic workflows that automate analytical tasks, to LLM-powered data products that surface insights. The ideal candidate is someone who moves fluidly from prototype to production, writes the code they architect, and takes personal ownership of the systems they ship. They combine deep expertise in AI and distributed systems with strong product instincts, excellent communication skills, and genuine curiosity about data analytics workflows, and they know when to use AI and when deterministic logic is the better answer. This is a high-leverage role at the intersection of data engineering, AI, product impact and technical leadership. Translate business problems and objectives into actionable
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