AI Data Platforms & Quality Engineering Leader

Apple Inc.; Cupertino (CA); On-site; USD 238,000 - 356,000; Full time

Benefits offered by this job

Stock programs

Relocation assistance

Medical & dental coverage

Retirement benefits

Job summary

Apple Inc. is seeking an Engineering Manager, AI Data Platforms & Quality in Cupertino to lead a team building AI data products and platforms.

You will define strategy, architecture, and a roadmap to transform operational and multimodal data into AI-ready assets powering intelligent applications and analytics. You will guide data ingestion, processing, quality, governance, and collaboration with AI/ML teams, product, and business stakeholders to deliver scalable solutions and high-impact AI

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 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.

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.

Skills

Leadership

Data engineering

Distributed systems

Python

SQL

Spark

Airflow

Kafka

Cloud platforms

Tools

AWS

GCP

Azure

Kubernetes

Docker

CI/CD

Job description

Apple Inc. is seeking an Engineering Manager, AI Data Platforms & Quality in Cupertino to lead a team building AI data products and platforms.

You will define strategy, architecture, and a roadmap to transform operational and multimodal data into AI-ready assets powering intelligent applications and analytics. You will guide data ingestion, processing, quality, governance, and collaboration with AI/ML teams, product, and business stakeholders to deliver scalable solutions and high-impact AI