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Engineering Manager, AI Data Platforms & Quality

Apple· Operations and Supply Chain
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Full-timePosted 2mo ago

About the role

Engineering leader responsible for building and scaling AI data platforms, data products, and data quality capabilities to enable GenAI, agentic AI, and embodied AI initiatives within Apple’s Manufacturing Systems and Infrastructure (MSI) organization.

Responsibilities

  • Lead and grow a high-performing engineering team focused on AI data platforms, data products, data quality and GenAI solutions.
  • Define technical vision, architecture, and roadmap for scalable AI data platforms and AI-ready data capabilities.
  • Build reusable platform capabilities for data ingestion, processing, curation, validation, data quality management, metadata, lineage, and governance.
  • Drive development of AI-ready datasets supporting GenAI, agentic workflows, and embodied AI applications.
  • Enable AI applications through RAG pipelines, embeddings, vector search, knowledge systems, and AI data services.
  • Establish engineering best practices for scalability, reliability, observability, security, and operational excellence.
  • Partner with AI/ML engineers, product teams, and business stakeholders to identify opportunities and deliver impactful AI solutions.
  • Mentor engineers, develop technical talent, and foster a culture of innovation and engineering excellence.

Qualifications

  • Experience leading solution and data engineering teams building large-scale, production-grade systems.
  • Strong background in data engineering, distributed systems, and cloud-based data platforms.
  • Proven experience designing and building scalable data products, data pipelines, APIs, and platform services.
  • Experience with AI data lifecycle management, including dataset curation, validation, quality evaluation, metadata management, lineage, and governance.
  • Strong expertise in AI Data Platforms & Engineering, including Python, SQL, Spark, Airflow, Kafka, data pipelines, distributed systems, and modern data lake/lakehouse architectures.
  • Experience building AI Data Curation & Quality capabilities, including dataset engineering, validation frameworks, data profiling, observability, and data quality metrics.
  • Understanding of GenAI enablement technologies, including LLM applications, RAG architectures, embeddings, and AI agent workflows.
  • Experience with cloud and infrastructure technologies, including AWS/GCP/Azure, Kubernetes, Docker, CI/CD, and scalable production systems.
  • Demonstrated ability to define technical strategy, drive architecture decisions, lead complex execution, and collaborate effectively across cross-functional teams.

Skills

Required:Data platform architectureData ingestion and processing pipelinesGenAI / AI lifecyclePython, SQL, Spark, Airflow, KafkaCloud platforms (AWS/GCP/Azure)Kubernetes, Docker, CI/CDLeadership and collaboration

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • education reimbursement for career advancement (tuition)
  • discretionary bonuses or commission payments (possible)
  • relocation assistance (possible)
  • Apple shareholder opportunities through stock programs
  • employee stock purchase plan
Last updated Jul 31, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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