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Senior Data and Applied AI Engineer, Core Data & Intelligence

Apple· Core Data & Intelligence
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Cupertino, CA, Seattle, WAfull-timePosted 2w ago

About the role

Senior data and applied AI engineer role focused on iCloud data infrastructure, large-scale data pipelines, and LLM-powered applications. Build scalable data systems, integrate AI at scale, ensure privacy, and collaborate across iCloud teams to power analytics and product decisions.

Responsibilities

  • Build distributed data systems. Design and build scalable, highly available systems for large-scale data processing and analytics that deliver consistent results for stakeholders.
  • Put AI to work. Build LLM-powered applications and intelligent agents at scale that automate routine work and give stakeholders new capabilities.
  • Protect privacy. Uphold Apple's core values by ensuring every system and solution meets Apple's privacy policy and data security standards.
  • Own rich datasets. Curate and evolve extremely rich datasets on iCloud products and platform interactions to power a wide range of use cases.
  • Build for the future. Design solutions that fit cleanly with existing systems, and use sound judgment to bring cutting-edge technologies to iCloud's needs.
  • Raise the bar on quality. Understand complex systems, write clean and efficient code, and keep improving how we engineer software.
  • Tie technology to outcomes. Understand how key technical decisions drive business results, and partner with cross-functional teams to deliver data frameworks and platforms that get there.

Qualifications

  • 8+ years building efficient, large-scale data pipelines with Spark and other distributed data technologies (such as Hadoop, Presto, Flink or Druid).
  • Highly proficient in at least one of Java, Python or Scala, with strong SQL skills.
  • Deep expertise in data principles, data architecture and data modeling.
  • Solid grasp of the data lifecycle, including lineage, governance, privacy, retention and anonymity.
  • Hands-on experience working with LLMs and developing AI agents.
  • Bachelor's degree in Computer Science or Engineering, or equivalent work experience in data engineering.
  • Experience designing and building LLM-powered applications and intelligent agents at scale.
  • Experience in a complex, matrixed organization on cross-functional or cross-business projects.
  • Strong communication and collaboration skills, with the ability to lead discussions on technology strategy and approach.
  • A track record of improving how an organization uses data.

Skills

Required:Distributed data systemsSpark and distributed data technologiesJava, Python, or ScalaSQLLLM / AI agent developmentData governance and privacyData modeling and architecture
Nice to have:Cross-functional leadership

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation (potential)
  • Apple shareholder programs and stock purchase plan
Last updated Oct 9, 2026. Interested? Apply on the company site.

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