{"schemaVersion":"jobsearcher.job.v1","id":"cb0cf2fb7612f626df1dac9a","url":"https://jobsearcher.com/jobs/cb0cf2fb7612f626df1dac9a","canonicalUrl":"https://jobsearcher.com/jobs/cb0cf2fb7612f626df1dac9a","title":"AI Data & Infrastructure Engineer","description":"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.\n\nThe 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.\n\nManufacturing 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.\n\nAs 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.\n\nDescription\n\nCreate robust, scalable architectures for systems that handle data orchestration for AI features\n\nDesign, build, and maintain scalable AI data platforms, services, and APIs that support and enable Agentic AI workflow development & automation.\n\nDevelop data ingestion, transformation, and publishing pipelines for structured, unstructured, and multimodal data.\n\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, vector database integrations, and metadata services for enterprise AI applications.\n\nBe able to quickly build an idea so you and the team can work with hands-on products. Then iterate on the best of those prototypes.\n\nBuild and integrate tools that help make complex AI systems observable, understandable and debuggable\n\nStrong understanding of distributed systems, parallel computing, and performance optimization\n\nCollaborate with AI/ML engineers, software engineers, product teams, and domain experts to define AI data requirements and deliver production-ready data solutions.\n\nOptimize platform scalability, reliability, performance, security, and cost across cloud-native environments and Agentic systems.\n\nAbility to clearly communicate complex technical problems and collaborate with partners to develop solutions\n\nPreferred Qualifications\n\nExperience with or a strong understanding of Generative AI, LLMs, Agentic Systems, or RAG (Retrieval-Augmented Generation) workflows.\n\nExperience integrating LLMs into existing systems\n\nExperience with API design, both for other engineers to use, but also for AI systems.\n\nExperience working with manufacturing, operational, IoT, or industrial data platforms.\n\nDemonstrated ability to lead technical initiatives and mentor engineers.\n\nMinimum Qualifications\n\nBachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.\n\n8+ Experience designing and building scalable data platforms and distributed systems.\n\nStrong programming skills in Python and SQL, with proficiency in Java or Scala preferred.\n\nExperience with Airflow, Kubeflow, or MLflow to build and orchestrate scalable AI data pipelines.\n\nExperience building scalable batch and streaming data pipelines using Spark (PySpark), Kafka, Airflow, and Ray, with proficiency in Pandas and modern data lake/lakehouse architectures (e.g., Iceberg, Delta Lake).\n\nExperience using modern development tools, including AI-assisted coding tools, while applying sound engineering judgment to review, validate, and improve generated code.\n\nKnowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for LLMs and agentic AI.\n\nExperience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.\n\nDemonstrated ability to understand complex user workflows, translate them into practical technical solutions, and collaborate across teams to deliver measurable outcomes.\n\nExcellent communication and collaboration skills, with the ability to translate technical concepts into clear, business focused insights.\n\nPay & Benefits\n\nAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.","company":"Apple","rawCompany":"apple","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-16T10:35:16.396Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Data & Infrastructure Engineer","description":"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.\n\nThe 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.\n\nManufacturing 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.\n\nAs 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.\n\nDescription\n\nCreate robust, scalable architectures for systems that handle data orchestration for AI features\n\nDesign, build, and maintain scalable AI data platforms, services, and APIs that support and enable Agentic AI workflow development & automation.\n\nDevelop data ingestion, transformation, and publishing pipelines for structured, unstructured, and multimodal data.\n\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, vector database integrations, and metadata services for enterprise AI applications.\n\nBe able to quickly build an idea so you and the team can work with hands-on products. Then iterate on the best of those prototypes.\n\nBuild and integrate tools that help make complex AI systems observable, understandable and debuggable\n\nStrong understanding of distributed systems, parallel computing, and performance optimization\n\nCollaborate with AI/ML engineers, software engineers, product teams, and domain experts to define AI data requirements and deliver production-ready data solutions.\n\nOptimize platform scalability, reliability, performance, security, and cost across cloud-native environments and Agentic systems.\n\nAbility to clearly communicate complex technical problems and collaborate with partners to develop solutions\n\nPreferred Qualifications\n\nExperience with or a strong understanding of Generative AI, LLMs, Agentic Systems, or RAG (Retrieval-Augmented Generation) workflows.\n\nExperience integrating LLMs into existing systems\n\nExperience with API design, both for other engineers to use, but also for AI systems.\n\nExperience working with manufacturing, operational, IoT, or industrial data platforms.\n\nDemonstrated ability to lead technical initiatives and mentor engineers.\n\nMinimum Qualifications\n\nBachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.\n\n8+ Experience designing and building scalable data platforms and distributed systems.\n\nStrong programming skills in Python and SQL, with proficiency in Java or Scala preferred.\n\nExperience with Airflow, Kubeflow, or MLflow to build and orchestrate scalable AI data pipelines.\n\nExperience building scalable batch and streaming data pipelines using Spark (PySpark), Kafka, Airflow, and Ray, with proficiency in Pandas and modern data lake/lakehouse architectures (e.g., Iceberg, Delta Lake).\n\nExperience using modern development tools, including AI-assisted coding tools, while applying sound engineering judgment to review, validate, and improve generated code.\n\nKnowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for LLMs and agentic AI.\n\nExperience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.\n\nDemonstrated ability to understand complex user workflows, translate them into practical technical solutions, and collaborate across teams to deliver measurable outcomes.\n\nExcellent communication and collaboration skills, with the ability to translate technical concepts into clear, business focused insights.\n\nPay & Benefits\n\nAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.","datePosted":"2026-09-16T10:35:16.396Z","dateModified":"2026-09-16T10:35:16.396Z","hiringOrganization":{"@type":"Organization","name":"Apple","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cb0cf2fb7612f626df1dac9a"},"url":"https://jobsearcher.com/jobs/cb0cf2fb7612f626df1dac9a"}}