AI Data & Knowledge Engineer
Core
Build scalable data infrastructure, pipelines, and knowledge layers to support agentic AI applications, RAG systems, and semantic search for Apple's US Sales organization.
Role type
Senior IC AI Data & Knowledge Engineer
Builds
Production data pipelines, knowledge graphs, and semantic layers for AI agents
Domain
Sales technology, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
Data pipeline design, Knowledge graph construction, RAG implementation, Vector search, Semantic layer modeling, Data governance, Cloud data platforms, SQL, Python, Distributed processing
Preferred skills
Ontology-based semantic layering, LLM evaluation, Unstructured data handling, Data labeling, AI/ML lifecycle management
Technologies
Snowflake, Redshift, Databricks, AWS, Azure, Google Cloud, Apache Airflow, Hadoop, Spark, Git, CI/CD tools
Responsibilities
Design and build scalable data and knowledge layers for agentic AI applications; Build RAG-ready data pipelines with document ingestion, parsing, and vector search; Design semantic and hybrid search architectures; Ensure data quality and governance for AIML datasets; Collaborate with data science teams on model training data requirements.
Seniority
Senior, hands-on IC
