AI Engineering Platform Lead

Octopus Holdings Limited; Hong Kong; Presencial; HKD 1.800.000 - 2.600.000; Jornada completa

Descripción de la vacante

Octopus Holdings Limited in Hong Kong is seeking a senior AI Architect to define and lead the corporate AI strategy, aligning with digital initiatives and business goals. You will shape standards for AI software engineering and oversee scalable, secure platforms.

The ideal candidate has 10+ years in software and solution architecture with hands-on AI experience, strong communication skills, and a track record delivering enterprise AI in regulated environments.

Formación

• Bachelor’s degree in Computer Science, AI, Data Science or related field; Master’s preferred.
• 10+ years in software engineering/solution architecture with 3+ years in AI/Generative AI.
• Proven track record delivering enterprise AI solutions in regulated sectors.
• Deep hands-on experience with Generative AI, LLMs, RAG, and agentic workflows.
• Strong software engineering skills across Python, Java, RESTful APIs and microservices.
• Experience with AI governance, production monitoring, data security and compliance.

Responsabilidades

• Define and execute corporate AI strategy and roadmap aligned to business objectives.
• Design and oversee scalable, secure AI platforms for enterprise integration.
• Lead deployment of AI components including LLMs and agentic workflows.
• Establish AI governance, risk controls and explainability standards.
• Evaluate platforms, vendors, and drive AI literacy across the enterprise.
• Build robust backend systems and apply best practices for secure AI deployments.

Conocimientos

Generative AI

LLMs

RAG

Agentic workflows

Prompt engineering

Cloud platforms

LLMOps

AI governance

Python

Java

Educación

Bachelor's degree in Computer Science/AI/Data Science

Master's degree in AI/ML/Data Science

Herramientas

Python

Java

RESTful APIs

Microservices

Cloud platforms

LLMOps

Descripción del empleo

Born from Hong Kong's demand for fast, convenient, and reliable payment solutions, Octopus introduced the world's first contactless multi-modal transit payment system in 1997. Since then, this homegrown FinTech company has pioneered innovative payment solutions for urban living across four continents. Our Vision To become the most preferred payment and lifestyle companion that connects customers and business partners through our best-in-class products and services. Our Mission Making everyday life easier. Our Values Customer Centricity, Simplicity & Trustworthiness. Dedicated to addressing customer needs and adapting to evolving market trends, Octopus has broadened its services beyond transportation to encompass retail, e-commerce, cross-border transactions, and travel abroad. Today, we serve approximately 98% of Hong Kong’s population, processing around 15 million transactions at more than HK$300 million on average daily. At the heart of our success are our colleagues. We value mutual respect, foster collaboration, and encourage innovation and partnership. Join us and shape the future of payment solutions. Your impact starts here!

Responsibilities

• Define and execute the corporate AI strategy and roadmap, aligning with business objectives and digital initiatives. Champion theestablishment of AI software engineering standardsand adoption ofAI-assisted coding frameworksto enhance software development agility.Evaluateemerging technologies,platforms and solutions for competitive advantage.
• Design, develop, and oversee the implementation of scalable, secure, and reliable AI platformsfor efficient agent integration. Lead deployment of advanced AI components, including Large Language Models (LLMs), RAG, and agentic workflows.
• Develop and deploy AI-assisted tools (like MCP platforms) into existing development processes. Establish best practices to facilitate frictionless developer workflows, enhancing productivity through AI-powered testing, deployment, and coding tools.
• Establish and maintain LLMOps and AgentOps standards for model lifecycle management. Implement robust monitoring, observability, and quality assurance to ensure reliability and performance.
• Define enterprise architecture standards and design patterns for responsible AI. Lead governance forums to ensure AI solutions comply with cybersecurity, regulatory, and ethical standards, maintaining strong controls for data protection and explainability.
• Evaluate and recommend AI platforms and third-party solutions. Support vendor due diligence and collaborate with leadership and business units to prioritize initiatives and drive AI literacy across the enterprise.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline. Master's degree in AI, Machine Learning, Data Science, or a related field is preferable.
• Around 10+ years of experience in software engineering and solution architecture, with at least 3+ years of hands‑on experience in AI, Machine Learning, or Generative AI.
• Proven track record of delivering enterprise‑grade AI solutions in regulated environments such as banking, financial services, fintech, or large corporate settings.
• Deep hands‑on experience with Generative AI (LLMs, RAG, agentic workflows, prompt engineering) andstrong software engineering skills (Python, Java, RESTful APIs, microservices).
• Solid experience designing scalable, secure, and reliable enterprise architecture. Familiarity with cloud platforms, LLMOps, and the ability to build robust backend systems and application platforms is essential.
• Demonstrated experience establishing AI governance, production monitoring, and secureAI deployment standards, with a strong understanding of model governance, data security, and compliance.
• A self‑motivated problem‑solver who thrives under pressure and is passionate about building reliable and scalable systems.
• Excellent communication skills (both verbal and written) to influence senior stakeholders.

We offer successful candidate an attractive remuneration package and excellent career prospects.

Visit our web site:http://www.octopus.com.hk/

The personal data collected will be used for recruitment purposes only. If you are not contacted by us within six weeks, you may consider your application unsuccessful. Personal data with an unsuccessful applicant will be destroyed 12 months after rejection of the application. During this retention period, you have the right to request for correction or destruction of your personal data at any time. Any request for the correction or destruction of personal data should be addressed in writing to our Human Resources & Administration Department.

Octopus is an equal opportunity employer and all employment decisions and Human Resources policies are administered; especially those relating to recruitment & selection, compensation & benefits, promotion & transfer, training & development and termination & redundancy; without discrimination on the basis of age, race, colour, religion, sex,national origin, marital status, pregnancy, physical and mental disability and family status but on genuine occupational qualification, job performance, employees’ ability and internal/ external relativities.