The AI Data Engineer role within the Applied Data Science team at Apple focuses on building and maintaining data pipelines that support AI applications in a global legal organization. This position is crucial for ensuring that AI systems receive high-quality, reliable data at every stage. The engineer will work closely with AI and data colleagues to design and implement data flows that connect legal systems to intelligent applications. The role emphasizes the importance of data infrastructure in enhancing AI performance and reliability.

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field; Master's degree preferred.
• 4+ years of experience in data engineering related to AI applications.
• Strong proficiency in SQL and Python for data engineering and transformation.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Experience with ETL/ELT tools like dbt, Fivetran, or Airflow.
• Experience building and maintaining REST APIs.
• Understanding of data modeling and data transformation best practices.
• Experience with version control (Git) and CI/CD practices.
• Ability to work closely with AI/ML teams and understand their data requirements.
• Experience with vector databases and embedding generation pipelines.

• Design and implement data pipelines that ingest, transform, and deliver data from legal systems to AI applications.
• Build and maintain pipelines that load and refresh vector databases and document stores used by AI retrieval systems.
• Engineer data transformations that prepare legal data for AI consumption.
• Build upstream and downstream integrations with various databases to support context engineering and AI retrieval systems.
• Develop and maintain APIs that expose structured and unstructured data to AI applications and analytics tools.
• Implement data quality checks and validation at pipeline ingestion points.
• Build monitoring and alerting for pipeline health, data freshness, and load failures.
• Understand AI data access patterns and optimize data delivery for AI performance.
• Integrate with the semantic layer to ground AI applications.
• Document pipeline designs, data contracts, and operational runbooks.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.