AI / Data Engineer

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

We are looking for a strong AI / Data Engineer to join our EMEIA Supply Chain team. This role focuses on building AI-powered applications, scalable backend systems, and Generative AI solutions that solve real operational problems across supply chain and logistics.\n\nYou will work across modern AI engineering, prompt engineering, and intelligent application development, helping design the next generation of AI tools and data capabilities used by Operations teams across EMEIA.\n\nIf you are passionate about AI, data platforms, and solving complex supply chain challenges at scale, we'd love to hear from you.\n

Progressive experience in data engineering, AI engineering, machine learning infrastructure, or a related technical field.\nStrong programming skills in Python and SQL, with experience building scalable ETL/ELT pipelines and working with large-scale datasets.\nHands on experience with modern data platforms and distributed processing technologies such as Snowflake, Spark, Kafka, Airflow, dbt, or equivalent technologies.\nExperience working with Large Language Models (LLMs), including prompt engineering, agentic AI workflows, and AI application development.\nExposure to application frameworks such as FastAPI, Flask, Streamlit, or React.\nStrong understanding of data architecture, APIs, and scalable system design.\nAbility to communicate technical solutions clearly to both technical and non-technical audiences.\n

Experience building AI evaluation platforms covering hallucination detection, retrieval quality evaluation, groundedness scoring, prompt benchmarking, and model comparison testing.\nExperience designing enterprise AI solutions using MCP architectures, knowledge graphs, or semantic data products.\nDemonstrated interest in emerging AI technologies, evidenced through applied projects, research, or professional experience within enterprise or operational environments.\nBSc or equivalent experience in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related technical field.\nMSc or equivalent advanced experience in AI, Machine Learning, Data Engineering, or a quantitative discipline is preferred but not required.\nCertifications in cloud platforms, AI engineering, or Generative AI technologies.\n