GenAI Data Platforms Engineering Lead

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

Benefits offered by this job

Medical and dental coverage

Employee stock purchase plan

Relocation assistance

Job summary

Apple Inc. is seeking an Engineering Manager, AI Data Platforms & Quality within the MSI organization in Cupertino. You will lead the team to build next-generation AI data products, data platforms, and data quality capabilities enabling GenAI and embodied AI initiatives.

You will define the technical strategy to transform enterprise, operational, and multimodal data into trusted, AI-ready assets powering intelligent applications and AI workflows.

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.
• AI data platforms expertise: Python, SQL, Spark, Airflow, Kafka
• Experience with data lake / lakehouse architectures
• AI data curation & quality capabilities
• Dataset engineering and data quality metrics

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, 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

AI data platforms

Data engineering

Leadership

Python

SQL

Spark

Airflow

Kafka

Cloud platforms

API design

Tools

Kubernetes

Docker

CI/CD

RAG pipelines

Job description

Apple Inc. is seeking an Engineering Manager, AI Data Platforms & Quality within the MSI organization in Cupertino. You will lead the team to build next-generation AI data products, data platforms, and data quality capabilities enabling GenAI and embodied AI initiatives.

You will define the technical strategy to transform enterprise, operational, and multimodal data into trusted, AI-ready assets powering intelligent applications and AI workflows.