Senior Engineering Manager, Agentic AI & Intelligent Reasoning
About the role
Lead the engineering organization responsible for Agentic AI and Intelligent Reasoning within Apple’s AI, Search & Knowledge Platforms team. Build and scale agentic AI frameworks, reasoning systems, planning engines, memory architectures, and orchestration platforms to deliver personalized, accurate, and trustworthy experiences across Apple’s AI ecosystem, while upholding privacy, reliability, and user trust.
Responsibilities
- Define the vision, technical strategy, and execution roadmap for Apple's Agentic AI answer & knowledge platform, enabling Siri, Apple Intelligence, Spotlight, Safari, and future intelligent experiences to answer increasingly complex user questions through reasoning, planning, retrieval, and intelligent orchestration.
- 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 privacy.
- Develop state-of-the-art agentic architectures that dynamically orchestrate LLMs, retrieval systems, reasoning engines, planning modules, memory systems, structured knowledge, and external tools to deliver intelligent, context-aware experiences.
- Drive innovations in planning, task decomposition, retrieval orchestration, long-context reasoning, memory management, tool use, agent collaboration, and adaptive execution to improve answer relevance, factuality, freshness, completeness, and user satisfaction across Apple’s AI ecosystem.
- Partner with foundation model, retrieval, knowledge, ranking, search, personalization, and product teams to build scalable AI systems that combine user and device context, trusted web information, structured knowledge, and Apple ecosystem data with on-device privacy and Private Cloud Compute.
- Lead 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 experience.
- Build and mentor high-performing engineering managers and technical leaders, set long-term organizational strategy, foster technical excellence, and execute ambitious multi-year roadmaps shaping the future of AI across billions of Apple devices.
Qualifications
- MS or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or related field
- 8+ years of experience leading engineering organizations delivering large-scale AI, ML, or distributed systems in production
- Proven track record 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 ML platforms
- Demonstrated success leading cross-functional organizations and defining long-term technical strategy while executing complex engineering programs
Skills
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- reimbursement for certain educational expenses (tuition)
- discretionary bonuses or commission potential
- relocation assistance
- Apple shareholder opportunities through stock programs
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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