Enterprise GenAI Data Infrastructure Engineer

Apple Inc.; Cupertino (CA); On-site; USD 195,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Apple stock programs / RSUs

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. in Cupertino, CA is seeking an AI Data & Infrastructure Engineer to design, build, and operate scalable AI data platforms powering enterprise GenAI and Agentic AI features.

You will work across data ingestion, transformation, and publishing pipelines while implementing RAG workflows and vector databases for enterprise applications. Join the Manufacturing Systems and Infrastructure team within Product Operations to optimize cloud-native environments, performance, security, and cost,

Qualifications

• 8+ years designing scalable data platforms and distributed systems.
• Proficient in Python and SQL; Java/Scala preferred.
• Experience with Airflow, Kubeflow, or MLflow.
• Experience with Spark, Kafka, Ray, and data lake architectures.
• Cloud platforms (AWS/Azure/GCP), Kubernetes, Docker, CI/CD, IaC.

Responsibilities

• Design, build, and maintain scalable AI data platforms and pipelines.
• Develop Retrieval-Augmented Generation (RAG) and embedding workflows.
• Collaborate with AI/ML, software, and product teams to deliver data solutions.
• Ensure observability, reliability, performance, security, and cost optimization.

Skills

Python

SQL

Distributed systems

Airflow

Kubeflow

MLflow

Spark

Pandas

Cloud platforms

Communication

Education

Bachelor's or Master's in CS/Software/Data Eng

Tools

Kubernetes

Docker

CI/CD

Infrastructure as Code

Vector databases

Job description

Apple Inc. in Cupertino, CA is seeking an AI Data & Infrastructure Engineer to design, build, and operate scalable AI data platforms powering enterprise GenAI and Agentic AI features.

You will work across data ingestion, transformation, and publishing pipelines while implementing RAG workflows and vector databases for enterprise applications. Join the Manufacturing Systems and Infrastructure team within Product Operations to optimize cloud-native environments, performance, security, and cost,