Apple
Senior Engineering Manager, Agentic AI & Intelligent Reasoning
$254K–$402K
Santa Clara, California +1 · Manager · Full-time · Posted Aug 3, 2026
- Location
- Santa Clara, California
Seattle, Washington - Experience
- 8+ years leading engineering organizations delivering large-scale AI, machine learning, or distributed systems in production.
- Education
- MS or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related technical field.
About the job
Leads the engineering organization building agentic AI and reasoning systems for Apple experiences, from research and platform development through production deployment.
What you'll do
- Set technical strategy and roadmap for the agentic AI answer and knowledge platform.
- Lead development of agents for reasoning, planning, retrieval, knowledge synthesis, and personalized responses while preserving privacy.
- Build and mentor engineering leaders and teams, and oversee evaluation, safety, and quality improvement systems.
What they ask for
- 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.
- 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 machine learning platforms.
Nice to have
- Expertise in agentic AI architectures, reasoning, planning, tool use, memory, multi-agent systems, and orchestration.
- Experience with RAG, long-context reasoning, RLHF/RLAIF, evaluation systems, or translating AI research into consumer products.
Pay
$254,400 and $381,600 USD base salary; $267,800 and $401,700 USD base salary
Tools
large language models, Retrieval-Augmented Generation (RAG), RLHF, RLAIF, Private Cloud Compute
AI focus
Leads development of agentic AI systems for complex intent understanding, multi-step reasoning, planning, retrieval, orchestration, memory, personalization, grounded answer generation, evaluation, and safety.
Model-written summary · the original posting is authoritative