Apple
Engineering Manager, AI Data Platforms & Quality
$238K–$356K
Cupertino, California · Manager · Full-time · Posted Jul 31, 2026
About the job
Leads engineering teams building AI data platforms, data products, and quality capabilities that turn enterprise, operational, and multimodal data into trusted assets for AI applications.
What you'll do
- Lead and grow an engineering team focused on AI data platforms, products, quality, and GenAI solutions.
- Set technical vision, architecture, and roadmap; build reusable capabilities for data ingestion, curation, validation, quality, metadata, lineage, and governance.
- Partner with AI/ML, product, and business teams to deliver AI-ready datasets and enable AI applications, agents, and workflows.
What they ask for
- 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; experience building scalable data products, pipelines, APIs, and platform services.
- Experience with AI data lifecycle management, including curation, validation, quality evaluation, metadata, lineage, and governance.
- Experience with AI data engineering technologies including Python, SQL, Spark, Airflow, Kafka, and cloud and infrastructure technologies including AWS/GCP/Azure, Kubernetes, Docker, and CI/CD.
Nice to have
- Experience building AI data platforms or infrastructure for LLM applications and AI products.
- Experience with multimodal data, data quality frameworks, AI evaluation pipelines, or dataset management platforms.
Pay
$237,600 and $356,400 (base salary)
Tools
Python, SQL, Spark, Airflow, Kafka, AWS/GCP/Azure, Kubernetes, Docker
AI focus
Builds AI data platforms and AI-ready datasets for GenAI, agentic AI, and embodied AI; enables LLM applications with RAG, embeddings, vector search, knowledge systems, and AI data services.
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