Jobs › Hong Kong › Vice President, AI Strategy & Transformation
Vice President, AI Strategy & Transformation
OKX is hiring for the job of Vice President, AI Strategy & Transformation, Hong Kong, Hong Kong SAR (On-site). This is an AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with OKX.
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ace-line old-record-id- ace-line old-record-id-doxusxfrenHjJKtgnorBrzgGFPb At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual s freedom.
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ace-line old-record-id-doxusxfrenHjJKtgnorBrzgGFPb 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.
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ace-line old-record-id-doxusxfrenHjJKtgnorBrzgGFPb 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.
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ace-line old-record-id- About the Opportunity
ace-line old-record-id- ace-line old-record-id- We are seeking a VP of AI Strategy and Transformation, a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
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ace-line old-record-id- The ideal candidate is, first and foremost, a deeply technical AI practitioner, someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only, a builder-leader who ships and who makes others ship.
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ace-line old-record-id- What You’ll Be Doing strong
ace-line old-record-id- strong 1. Company AI Strategy and Transformation
ace-line old-record-id- Own the company’s AI roadmap end-to-end, from foundation model selection to business-unit-specific deployment plans:
ace-line old-record-id- Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
ace-line old-record-id- Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
ace-line old-record-id- Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
ace-line old-record-id- Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
ace-line old-record-id- Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
ace-line old-record-id- Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
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ace-line old-record-id- strong 2. System Building and Technical Execution
ace-line old-record-id- Architect and deliver production-grade AI systems that create measurable business impact, not just prototypes:
ace-line old-record-id- Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
ace-line old-record-id- Design and implement AI-native infrastructure: model serving, automated evaluation, A testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
ace-line old-record-id- Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
ace-line old-record-id- Build robust evaluation and benchmarking systems for AI outputs, measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
ace-line old-record-id- Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
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ace-line old-record-id- strong 3. Organizational AI Enablement and Adoption
ace-line old-record-id-doxlgHXvqfQQvymdNdIQTogHguc Drive AI adoption across every business unit, making AI a core competency for the entire organization, not just the engineering team:
ace-line old-record-id- Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
ace-line old-record-id- Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
ace-line old-record-id- Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
ace-line old-record-id- Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
ace-line old-record-id- Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
ace-line old-record-id- Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
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ace-line old-record-id- What We Look For In You
ace-line old-record-id- 10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
ace-line old-record-id- Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
ace-line old-record-id- Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
ace-line old-record-id- Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
ace-line old-record-id- Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
ace-line old-record-id- Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
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ace-line old-record-id- Nice to Haves
ace-line old-record-id- Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
ace-line old-record-id- Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
ace-line old-record-id- Track record of driving company-wide AI adoption initiatives, not just team-level, but organization-wide cultural and process transformation.
ace-line old-record-id- Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
ace-line old-record-id- Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
ace-line old-record-id- Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
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ace-line old-record-id- Perks and span 18pt; Benefits
ace-line old-record-id- Competitive total compensation package
ace-line old-record-id- L and D programs and Education subsidy for employees growth and development
ace-line old-record-id- Various team building programs and company events
ace-line old-record-id- Wellness and meal allowances
ace-line old-record-id- Comprehensive healthcare schemes for employees and dependants
ace-line old-record-id- More that we love to tell you along the process!
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ace-line old-record-id- body ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- span 18pt; OKX Statement:
ace-line old-record-id- OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
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span span All official span text-with-abbreviation text-with-abbreviation-bottomline OKX span vacancies are published on this website. span span While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. strong span span If in doubt, please apply directly through our official careers website.
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Location and market context
This job is based in Hong Kong 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 jobs
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. Jobs 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 job
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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