Applied AI & Data Engineer - Business & Education
Core
Design and build the data and AI platform for Apple's Business and Education products, enabling agents, intelligent workflows, and self-serve analytics at scale.
Role type
Senior Applied AI & Data Engineer (AI-native platform)
Builds
AI-native data platforms, agentic systems, and analytics infrastructure for enterprise and education customers
Domain
Enterprise software, Education technology, Cloud-native AI
Deliverable
production ML models
Required skills
LLM and agent framework fluency, RAG pipelines, vector search, multi-agent orchestration, data platform architecture, ETL/ELT and streaming pipelines, cloud-native patterns, technical leadership, product mindset
Preferred skills
Model fine-tuning, LLMOps, natural-language interfaces, AI-native code editors, regulated environment experience
Technologies
Databricks, AWS, LangChain, LlamaIndex, Semantic Kernel, Google ADK, pgvector, FAISS, Pinecone, Trino, Presto, Spark, Kafka, Delta Lake
Responsibilities
Design and build scalable data and AI platforms; own AI and agentic systems end-to-end; build data foundations for GenAI and advanced analytics; optimize system efficiency and cost; partner with stakeholders to deliver production-ready systems; provide technical leadership and mentorship; explore and implement state-of-the-art AI techniques
Seniority
Senior, hands-on IC with leadership responsibilities
