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Applied AI & Data Engineer - Business & Education

Apple· Software and Services
Apply on company site
Cupertino, CA, Seattle, WA$184.7k - $324.8kFull-timePosted 2mo ago

About the role

Role focused on designing, building, and operating AI-native data and agentic systems at Apple scale for Business and Education products, enabling AI-first data engineering, self-serve analytics, and AI-enabled workflows.

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, offline evals, LLM-as-judge, drift monitoring, and optimization for cost, latency, throughput, and inference quality.
  • A foundation in machine learning and deep learning; understanding of transformers, embeddings, and evaluation.
  • Design and build scalable data platforms on modern cloud-native patterns (Databricks, AWS, or equivalent); proficiency in at least one high-level language (Python, Scala, Java, or Go), strong SQL, and writeable, observable code.
  • Experience delivering ETL/ELT, streaming, and CDC pipelines with Spark, Kafka, and Delta Lake, plus workflow orchestration, data quality checks, observability, and alerting.
  • Knowledge of data modeling patterns and ability to select appropriate pattern for use case.
  • A track record of hands-on technical leadership: architecture/design reviews, implementation guidance, production-readiness review, and mentoring 3+ years.
  • Product mindset with research sensibility; ability to read papers, separate signal from hype, and drive problems to completion.
  • BS or MS in CS, Information Systems, AI/ML, Engineering, Mathematics, Statistics, or related field, or equivalent practical experience.

Skills

Required:Data platform architectureAI/Agent frameworksVector search & RAGMLOps / LLMOpsProgramming & data tooling

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses (tuition)
  • discretionary bonuses or commission payments may apply
  • relocation support
Last updated Aug 14, 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.

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