Apple is seeking an Engineering Manager for AI Data Platforms & Quality within the Manufacturing Systems and Infrastructure (MSI) organization. You will lead the expanded charter to build next generation AI data products, data platforms, and data quality capabilities that enable GenAI, agentic AI, and embodied AI initiatives. You will define and drive the technical strategy for transforming enterprise, operational, and multimodal data into trusted, AI ready assets that power intelligent applications, AI agents, analytics, and automated workflows. Minimum Qualifications include 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 track record designing and building scalable data products, data pipelines, APIs, and platform services; expertise in AI data lifecycle management (dataset curation, validation, quality evaluation, metadata management, lineage, governance); proficiency with AI Data Platforms & Engineering tools (Python, SQL, Spark, Airflow, Kafka, data pipelines, distributed systems, lakehouse architectures); experience with AI data curation and quality capabilities (dataset engineering, validation frameworks, data profiling, observability, data quality metrics); understanding of GenAI enablement technologies (LLMs, RAG architectures, embeddings, AI agent workflows); experience with cloud and infrastructure (AWS/GCP/Azure, Kubernetes, Docker, CI/CD, scalable production systems); ability to define technical strategy, dri

Apple is seeking an Engineering Manager for AI Data Platforms & Quality within the Manufacturing Systems and Infrastructure (MSI) organization. You will lead the expanded charter to build next generation AI data products, data platforms, and data quality capabilities that enable GenAI, agentic AI, and embodied AI initiatives. You will define and drive the technical strategy for transforming enterprise, operational, and multimodal data into trusted, AI ready assets that power intelligent applications, AI agents, analytics, and automated workflows. Minimum Qualifications include 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 track record designing and building scalable data products, data pipelines, APIs, and platform services; expertise in AI data lifecycle management (dataset curation, validation, quality evaluation, metadata management, lineage, governance); proficiency with AI Data Platforms & Engineering tools (Python, SQL, Spark, Airflow, Kafka, data pipelines, distributed systems, lakehouse architectures); experience with AI data curation and quality capabilities (dataset engineering, validation frameworks, data profiling, observability, data quality metrics); understanding of GenAI enablement technologies (LLMs, RAG architectures, embeddings, AI agent workflows); experience with cloud and infrastructure (AWS/GCP/Azure, Kubernetes, Docker, CI/CD, scalable production systems); ability to define technical strategy, dri