The AI Data & Knowledge Engineer role at Apple focuses on developing infrastructure and tools to automate sales processes, leveraging Artificial Intelligence and Machine Learning. The position is part of the US Sales Technology Team, which aims to enhance sales operations through innovative data solutions. The engineer will work at the intersection of development, operations, data, and systems engineering, with a strong emphasis on building and maintaining data pipelines for both structured and unstructured data. This role is critical for supporting the data infrastructure necessary for AIML initiatives.

• 5+ years of experience in designing, building, and maintaining scalable data solutions for large-scale analytics.
• Proficiency in SQL and development experience with cloud database environments like Snowflake, Redshift, and Databricks.
• Proficiency in programming languages like Python, Java, and R, as well as open-source frameworks for distributed processing like Hadoop and Spark.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of LLM evaluation and AI quality tooling, retrieval metrics, and observability.

• Develop infrastructure, systems, services, and tools for automating sales processes.
• Build and maintain data pipelines for structured and unstructured data.
• Architect and develop data pipelines through ETL tools and API integration.
• Model enterprise knowledge and metadata within semantic layers.
• Articulate and translate business questions into data solutions.

• 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.