AI Data & Knowledge Engineer
Core
Building scalable data infrastructure, pipelines, and knowledge layers to support agentic AI applications, semantic search, and LLM-driven systems for Apple Sales.
Role type
Senior IC AI Data & Knowledge Engineer
Builds
Data pipelines, knowledge graphs, semantic layers, and RAG-ready systems for AI agents
Domain
Sales technology, Artificial Intelligence, Machine Learning, Data Engineering
Deliverable
production ML models
Required skills
Data pipeline design, Knowledge graph construction, Semantic layer modeling, Vector search implementation, RAG architecture, Distributed data systems, Data governance, Unstructured data processing, Cloud data platforms, SQL/NoSQL development
Preferred skills
Ontology-based semantic layer design, LLM evaluation and observability, Data labeling and annotation, AI/ML model lifecycle management, API integration, Data quality monitoring
Technologies
Snowflake, Redshift, Databricks, Python, Java, R, Hadoop, Spark, Apache Airflow, AWS, Azure, Google Cloud, Vector databases, Git, CI/CD tools
Responsibilities
Design and build scalable data and knowledge layers for agentic AI applications; Develop data pipelines for ingesting and transforming structured and unstructured data; Implement semantic and hybrid search architectures; Ensure data quality and governance for AIML datasets; Collaborate with data science teams on model training data requirements; Maintain data documentation and validation processes
Seniority
Senior, hands-on IC