AI Engineering Director for Autonomous Agents

OKX

Hong Kong

On-site

HKD 1,400,000 - 2,300,000

Full time

14 days+

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Job summary

OKX is seeking a Senior Director of AI to lead both people and product, building a high-calibre AI team while guiding design, evaluation, and 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.

You will own end-to-end delivery, establish benchmark-driven evaluation frameworks, and align AI initiatives with business priorities across product,

Qualifications

Master’s or PhD in Computer Science, AI or related field (PhD preferred).
10+ years in AI/ML research, productization, or platform development at leading tech firms.
Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems.
Proven track record translating AI capabilities into measurable business outcomes.
End-to-end delivery experience with autonomous AI Agent products, from inception to production.
Hands-on experience integrating AI into engineering workflows (AI coding assistants, automated code review, or developer productivity tooling).

Responsibilities

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.