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Senior Staff AI Engineer, Anti-Fraud

OKX

Role at a glance

Category
AI Governance
Work arrangement
On-site
Location
Hong Kong, Hong Kong SAR
Posted
Jun 25, 2026
Apply for this roleApplications go directly to OKX
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OKX is hiring a Senior Staff AI Engineer, Anti-Fraud in Hong Kong, Hong Kong SAR. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with OKX.

ace-line old-record-id- Who we are ace-line old-record-id- ace-line old-record-id- At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual s freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. ace-line old-record-id- About The Opportunity The company’s Anti-Fraud Team leverages advanced blockchain data and AI technologies to protect users and platforms from scams, abuse, and other fraudulent activities. The team develops innovative, scalable solutions that safeguard the integrity of digital ecosystems. The AI Engineer will be responsible for designing and implementing intelligent algorithms to analyze on-chain data, enabling the detection and prevention of fraudulent activities such as scams and reward/campaign abuse. The role requires expertise in transformer models, graph databases, and AI agents to strengthen detection capabilities. The AI Engineer will also lead the deployment of scalable AI services into production, ensuring reliable and real-time fraud detection. What You’ll Be Doing ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- Develop and optimize machine learning models, with a focus on transformer-based architectures, tailored for fraud detection in blockchain data. Interpret and analyze on-chain data to extract meaningful features for building robust anti-fraud algorithms. Design and implement graph-based approaches using graph databases and graph query languages to identify complex fraud patterns. Build intelligent agents using LangGraph or similar frameworks to automate detection workflows and decision-making processes. Deploy and maintain AI services and models in production environments, ensuring scalability, reliability, and high performance. Collaborate with data engineers, product

Full responsibilities and requirements are on OKX's application page.

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About OKX
Hiring for governance, risk, and compliance roles on GRC Careers.
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Location and market context

This role is based in Hong Kong, Hong Kong SAR on-site. Local candidates benefit from being close to OKX's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how OKX would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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