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Senior Engineering Manager, Agentic AI & Intelligent Reasoning

Apple

Santa Clara, CAJobSeen 2mo agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Santa Clara, CA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Apple is hiring a Senior Engineering Manager, Agentic AI & Intelligent Reasoning. Apple seeks a senior engineering manager to lead the organization responsible for Agentic AI and Intelligent Reasoning, building next‑generation AI systems that understand complex user intent, orchestrate multi‑step reasoning, retrieve and synthesize knowledge, and deliver personalized, trustworthy experiences.

Key focus areas include 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..

Important skills include Conversational AI, Intelligent Agents, Reasoning Systems, Advanced Machine Learning Platforms, Cross-Functional Leadership, and Defining Long-Term Technical Strategy. Preferred (not required): LLM, Agentic AI Architectures, Autonomous Agents, and Planning Algorithms.

Skills & qualifications

RequiredNice to have

Skills

LLMConversational AIIntelligent AgentsReasoning SystemsAdvanced Machine Learning PlatformsCross-Functional LeadershipDefining Long-Term Technical StrategyExecuting Complex Engineering ProgramsAgentic AI ArchitecturesAutonomous AgentsPlanning AlgorithmsTool UseMemory ArchitecturesMulti-Agent SystemsOrchestration FrameworksRetrieval-Augmented Generation (RAG)Long-Context ReasoningChain-of-Thought OptimizationReinforcement Learning for LLMs (RLHF, RLAIF)Model AlignmentAdvanced Context TechniquesMulti-Intent UnderstandingMulti-Hop ReasoningDeep ResearchEvidence SynthesisComplex Workflow ExecutionPersonalized AI ExperiencesDesigning Scalable Evaluation SystemsReasoning Quality EvaluationFactuality EvaluationGrounding EvaluationPersonalization EvaluationSafety EvaluationAgent Reliability EvaluationUser Experience EvaluationTranslating AI Research Into Consumer ProductsProduct VisionStrategic ThinkingBusiness AcumenBalancing Long-Term Innovation With Rapid ExecutionCommunicationOrganizational SkillsDeveloping World-Class Engineering TeamsFostering a Culture of InnovationEngineering Excellence

Qualifications

MS or Ph.D. In Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a Related Technical Field8+ Years of Experience Leading Engineering Organizations Delivering Large-Scale AI, Machine Learning, or Distributed Systems in ProductionProven Track Record of Delivering Complex AI Platforms From Research Through Production at Large Scale

Full job description

Role Number: 200675477-3760

Summary

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 & Knowledge Platforms team builds the foundational intelligence powering Siri, Apple Intelligence, Spotlight, Safari, and intelligent experiences across the Apple ecosystem.

Description

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.

Minimum Qualifications

  • 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 and defining long-term technical strategy while executing complex engineering programs.

Preferred Qualifications

  • 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.

  • Demonstrated ability to translate cutting-edge AI research into high-quality consumer products serving billions of users.

  • 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 and fostering a culture of innovation and engineering excellence.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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