AI Data & Knowledge Engineer: Build Scalable AI Pipelines

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Apple is seeking an AI Data & Knowledge Engineer to develop data infrastructure and pipelines for automating sales processes and supporting AIML deployments. You will bridge development, operations, data, and systems engineering to enable large-scale, real-time data transformation.

You will work at the intersection of data engineering and AI-driven sales tooling, building knowledge layers, pipelines, and models to improve enterprise knowledge grounding and decision-making.

Qualifications

• Knowledge graphs, RAG pipelines, and vector databases for grounding LLM-driven applications.

Responsibilities

• Develop infrastructure, systems, services, and tools for automating sales processes.
• Build data pipelines for structured and unstructured data, enabling AIML model deployment.
• Design and maintain data infrastructure for large-scale analytics and continuous data transformation.
• Collaborate across development, operations, data, and systems engineering to deliver scalable solutions.

Skills

Knowledge graphs

RAG pipelines

Vector databases

Semantic layers

SQL

Python

Java

R

Hadoop

Spark

Git

CI/CD

Apache Airflow

Cloud platforms

Tools

Snowflake

Redshift

Databricks

Hadoop

Spark

Git

CI/CD

Apache Airflow

Job description

Apple is seeking an AI Data & Knowledge Engineer to develop data infrastructure and pipelines for automating sales processes and supporting AIML deployments. You will bridge development, operations, data, and systems engineering to enable large-scale, real-time data transformation.

You will work at the intersection of data engineering and AI-driven sales tooling, building knowledge layers, pipelines, and models to improve enterprise knowledge grounding and decision-making.