Okx
About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do
Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities
What We're Looking For Must-have
Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred)
10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
Proven track record of translating AI capabilities into measurable business outcomes
End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
Nice to have
Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
AI publications, patents, or industry-recognized technical contributions
Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments
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