Senior Engineering Manager, Agentic AI & Intelligent Reasoning

Apple is where individual imaginations gather together contributing to the values that lead to great work. Every new idea has the potential to become an extraordinary product service or customer experience. The AI Search u0026 Knowledge Platforms team builds the foundational intelligence powering Siri Apple Intelligence Spotlight Safari and intelligent experiences across the Apple ecosystem.

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 Apples AI experiences to solve increasingly sophisticated user problems while maintaining Apples industry-leading standards for privacy reliability and user trust.

In this role you will define the vision technical strategy and execution roadmap for Apples Agentic AI answer u0026 knowledge platform enabling Siri Apple Intelligence Spotlight Safari and future intelligent experiences to answer increasingly complex user questions through reasoning planning retrieval and intelligent will lead end-to-end engineering and applied research to build AI agents capable of understanding complex user goals decomposing multi-intent requests performing multi-hop reasoning across heterogeneous knowledge sources executing long reasoning chains conducting deep research and synthesizing grounded answers that integrate world knowledge with users personal context while preserving organization will develop state-of-the-art agentic architectures that dynamically orchestrate large language models retrieval systems reasoning engines planning modules memory systems structured knowledge and external tools to deliver intelligent context-aware experiences. These systems will support sophisticated workflows requiring iterative reasoning evidence gathering verification contextual understanding and personalized response will drive innovations in planning task decomposition retrieval orchestration long-context reasoning memory management tool use agent collaboration and adaptive execution to significantly improve answer relevance factuality freshness completeness and user satisfaction across Apples AI will partner closely with foundation model retrieval knowledge ranking search personalization and product teams to develop scalable AI systems that intelligently combine user context device context trusted web information structured knowledge and Apples ecosystem data while maintaining strict privacy guarantees through on-device intelligence and Private Cloud will also lead the development of robust evaluation frameworks simulation environments safety guardrails reasoning benchmarks observability systems and continuous learning pipelines to measure and improve agent quality across complex reasoning grounding planning accuracy factual consistency personalization and user a senior engineering leader you will build and mentor high-performing engineering managers and technical leaders establish long-term organizational strategy foster technical excellence and successfully execute ambitious multi-year roadmaps that shape the future of AI across billions of Apple devices worldwide.

MS or Ph.D. in Computer Science Artificial Intelligence Machine Learning Natural Language Processing or a related technical field.n8 years of experience leading engineering organizations delivering large-scale AI machine learning or distributed systems in track record of delivering complex AI platforms from research through production at large experience in large language models conversational AI intelligent agents reasoning systems or advanced machine learning success leading cross-functional organizations and defining long-term technical strategy while executing complex engineering programs.

Deep expertise in agentic AI architectures autonomous agents reasoning systems planning algorithms tool use memory architectures multi-agent systems and orchestration engineering and Ru0026D 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 building systems for multi-intent understanding multi-hop reasoning deep research evidence synthesis complex workflow execution and personalized AI designing scalable evaluation systems for reasoning quality factuality grounding personalization safety agent reliability and user ability to translate cutting-edge AI research into high-quality consumer products serving billions of product vision strategic thinking and business acumen with the ability to balance long-term innovation with rapid leadership communication and organizational skills with a passion for developing world-class engineering teams and fostering a culture of innovation and engineering excellence.