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Applied AI & Data Engineer - Business & Education

Apple· Business & Education
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Hybrid (Seattle, Washington; Cupertino, California)$175k - $308.5kFull-timePosted 2mo ago

About the role

Shape how AI and modern data engineering and analytics come together to power Apple's Business and Education products at scale, building AI-native capabilities (agents, intelligent workflows, self-serve analytics) and defining an AI-first data organization.

Responsibilities

  • Design and build the data and AI platform for Business and Education on Databricks, AWS, and modern cloud-native patterns, along with the data models and data-quality practices that make it trustworthy.
  • Own AI and agentic systems end-to-end: retrieval, planning, evaluation, guardrails, responsible-AI review, deployment, and the on-call rotation that keeps them working.
  • Build the data foundation for GenAI, agentic AI, and advanced analytics: RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration, so the organization can ship natural-language data interfaces, AI agents, tool-calling workflows, and data-driven web apps.
  • Keep those systems efficient enough to scale, through model selection and serving decisions, latency and throughput work, and token economics at Apple volume.
  • Partner with product, business, analytics, and AI stakeholders to turn ambiguous requirements into secure, scalable, production-ready systems.
  • Provide hands-on technical leadership through design reviews, implementation guidance, and production-readiness checks, and own projects across their full lifecycle, from discovery and planning through rollout.
  • Mentor engineers, prioritize and resource across concurrent initiatives, and help the team adopt AI-native practices as they emerge, through workshops, technical playbooks, and design guidance.
  • Explore state-of-the-art data and AI techniques, including agentic patterns, evaluation methods, AI-native developer tools, and modern data architectures, and turn them into capabilities that make our Data Engineering, Analytics, and Data Science teams measurably faster: AI-accelerated pipeline development, intelligent alerting, and natural-language access to data.

Qualifications

  • 8+ years across data engineering, analytics engineering, software engineering, or ML engineering, with the last 3+ years building and shipping Applied AI and agentic LLM systems in production.
  • You architect, build, and operate production AI products composed of LLMs, foundation models, agents, and deterministic components, for both human and machine consumers.
  • Hands-on fluency with modern LLM and agent frameworks (LangChain, LlamaIndex, Semantic Kernel, Google ADK, or equivalent), vector search (pgvector, FAISS, Pinecone, or equivalent), RAG pipelines, multi-agent coordination, tool invocation, and stateful reasoning.
  • Production discipline for AI systems: evaluation harnesses, guardrails, telemetry, cost/latency/throughput optimization, and concrete deployment strategies.
  • A foundation in machine learning and deep learning; understanding of transformers, embeddings, losses, and diagnosing production failures by prompt, retrieval, model, or data.
  • Experience designing and building scalable data platforms on cloud-native patterns (Databricks, AWS, or equivalent); strong SQL and at least one high-level language (Python, Scala, Java, or Go).
  • Experience delivering ETL/ELT, streaming, and CDC pipelines with Spark, Kafka, and Delta Lake, including data quality, observability, and alerting.

Skills

Required:Cloud data platform design and deliveryLLM/framework fluencyVector searchRAG pipelinesMulti-agent orchestrationMLOps & LLMOps

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement (tuition)
  • Discretionary bonuses or commission potential and relocation eligibility
  • Apple shareholder opportunities via stock programs
Last updated Aug 21, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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