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AI Data & Infrastructure Engineer

Cupertino

Pay
Pay not listedSimilar roles state $165K–$240K
Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Design, build, and operate scalable AI data systems

  • Develop data pipelines and provision infrastructure

  • Build core platform services for GenAI and agentic AI

  • Enable manufacturing workflow automation through agents and agent skills

From the employer’s posting
the end to end design, build, and operation of scalable AI data systems
data pipeline development and infrastructure provisioning
core platform services
enabling manufacturing workflow automation through Agents and Agent skills

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Status in our records
Live
First seen by us
Sep 30, 2026 · 30 days ago
Recorded sightings
204
Last seen by us
Oct 31, 2026
Employer says posted
Sep 11, 2026

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Job description

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Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Manufacturing Systems and Infrastructure (MSI) team is an engineering organization under the Product Operations org. MSI is responsible for the design, development, and maintenance of systems tools, services, and applications required to efficiently run manufacturing operations at scale across global factory sites. As an AI Data & Infrastructure Engineer with the MSI team, you will won the end to end design, build, and operation of scalable AI data systems that power enterprise GenAI and Agentic AI capabilities. Your work spans core platform services, data pipeline development and infrastructure provisioning, enabling manufacturing workflow automation through Agents and Agent skills.
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Cupertino

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