An exceptional opportunity has arisen for a high-calibre executive to join a fast-growing technology leader as the Head of AI Engineering. Reporting directly to the Chief Technology Officer (CTO), the successful candidate will spearhead a premier, 100-person multidisciplinary engineering division, dual-tracking the architecture of a core enterprise Agentic AI platform alongside highly commercial, vertical-specific AI products.
about the company.
Our client is a dynamic, well-funded technology corporation delivering next-generation artificial intelligence platforms for the global enterprise market. Known for high-performance innovation and market agility, the company builds secure, scalable, and trusted AI solutions that solve complex, real-world business challenges across high-growth industry sectors.
about the team.
You will lead a high-performing, commercial engineering division of approximately 100 professionals, including machine learning engineers, data scientists, and platform architects. Managing a direct-report layer of Engineering Directors and Principal Architects, this team operates in an agile, product-driven, and highly collaborative environment focused on shifting bleeding-edge AI code into scaled enterprise production.
about the job.
As the strategic leader of the AI division, your responsibilities will include:
Architecting and executing a high-impact product engineering roadmap focused on LLMs, LVLMs, Generative AI, and autonomous Agentic AI architectures.
Driving the end-to-end development of proprietary, highly differentiated AI products tailored for industries including FinTech, Cybersecurity, Digital Health, and Smart Manufacturing.
Anticipating global technology and architecture shifts to ensure the company’s product line remains ahead of enterprise competitors.
Championing AI enablement across the wider company, establishing core platform capabilities that internal business units can easily leverage.
Directing, scaling, and structurally optimising the 100-person engineering division to maintain a high-velocity, software-first delivery culture.
Overseeing the core engineering of a reusable, enterprise-grade Agentic AI Orchestration Platform to accelerate internal product delivery.
Guiding vertical product teams in deploying complex AI applications, such as automated financial risk software and privacy-preserving security modules.
Ensuring all systems are built for high availability, enterprise integration, and immediate commercial client adoption.
Embedding commercial performance parameters, client scalability requirements, and user feedback loops directly into early engineering cycles.
Acting as the primary technical authority to executive leadership, enterprise client C-suites, and strategic commercial partners.
skills & experience required.
Minimum 15+ years of total experience in commercial software engineering and advanced technology delivery.
Minimum 8+ years in a senior executive or director capacity managing large-scale, multi-tiered engineering organisations (experience managing teams of 50 to 100+ professionals is highly preferred).
A strong commercial profile balancing deep technical depth in machine learning with a sharp track record of delivering revenue-generating software.
Extensive experience architecting and scaling production systems using LLMs, multi-agent frameworks, and GenAI.
Domain expertise delivering AI enterprise software into Financial Services, Fintech, or Cybersecurity/Privacy sectors is highly preferred.
Solid hands-on knowledge of modern cloud infrastructure, containerisation, enterprise architecture, and robust MLOps/CI/CD pipelines.
Proven success navigating the product journey from MVP to commercial launch and large-scale enterprise customer deployment.
Elite communication and presentation skills, with the ability to confidently translate complex technical architectures into business value for enterprise buyers and C-suite executives.
Professional fluency in written and spoken English is required; fluency in Cantonese or Mandarin is highly advantageous for regional stakeholder engagement.
If you are interested in this role, please click 'Apply Now' or send your CV directly to Allison.lin@randstad.com.hk.
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