About The Position

We are seeking an exceptional Senior Engineering Manager to lead the engineering organization responsible for Agentic AI and Intelligent Reasoning. This team is building the next generation of AI systems capable of understanding complex user intent, orchestrating multi-step reasoning, retrieving and synthesizing knowledge, and delivering deeply personalized, accurate, and trustworthy experiences. You will lead a world-class organization of machine learning engineers, software engineers, and applied scientists developing agentic AI frameworks, reasoning systems, planning engines, memory architectures, and orchestration platforms that enable Apple's AI experiences to solve increasingly sophisticated user problems while maintaining Apple's industry-leading standards for privacy, reliability, and user trust.

Requirements

  • MS or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related technical field.
  • 8+ years of experience leading engineering organizations delivering large-scale AI, machine learning, or distributed systems in production.
  • Proven track record of delivering complex AI platforms from research through production at large scale.
  • Strong experience in large language models, conversational AI, intelligent agents, reasoning systems, or advanced machine learning platforms.
  • Demonstrated success leading cross-functional organizations.

Nice To Haves

  • Deep expertise in agentic AI architectures, autonomous agents, reasoning systems, planning algorithms, tool use, memory architectures, multi-agent systems, and orchestration frameworks.
  • Strong engineering and R&D experience in large language models, Retrieval-Augmented Generation (RAG), long-context reasoning, chain-of-thought optimization, reinforcement learning for LLMs (RLHF, RLAIF), model alignment, and advanced context techniques.
  • Experience building systems for multi-intent understanding, multi-hop reasoning, deep research, evidence synthesis, complex workflow execution, and personalized AI experiences.
  • Experience designing scalable evaluation systems for reasoning quality, factuality, grounding, personalization, safety, agent reliability, and user experience.
  • Excellent product vision, strategic thinking, and business acumen with the ability to balance long-term innovation with rapid execution.
  • Outstanding leadership, communication, and organizational skills with a passion for developing world-class engineering teams.

Responsibilities

  • Lead the engineering organization responsible for Agentic AI and Intelligent Reasoning.
  • Build the next generation of AI systems capable of understanding complex user intent, orchestrating multi-step reasoning, retrieving and synthesizing knowledge, and delivering deeply personalized, accurate, and trustworthy experiences.
  • Lead a world-class organization of machine learning engineers, software engineers, and applied scientists.
  • Develop agentic AI frameworks, reasoning systems, planning engines, memory architectures, and orchestration platforms.
  • Enable Apple's AI experiences to solve increasingly sophisticated user problems while maintaining Apple's industry-leading standards for privacy, reliability, and user trust.
  • Define long-term technical strategy.
  • Execute complex engineering programs.
  • Translate cutting-edge AI research into high-quality consumer products serving billions of users.
  • Foster a culture of innovation and engineering excellence.
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