Expert / Director of Al

OKXOttawa, ON

About The Position

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.

Requirements

  • 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 Haves

  • 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

Responsibilities

  • Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
  • Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
  • Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
  • Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
  • Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
  • Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
  • Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities
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