Drimva

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

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)