AI Lead Architect at Octopus

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, Generative AI, Large Language Models, RAG, Agentic Workflows, Python, Java, RESTful APIs, Microservices, LLMOps, AgentOps, Enterprise Architecture, AI Governance, Prompt Engineering, Cloud Platforms, Software Engineering

Industry

Financial Services

Description

Responsibilities: * Define and execute the corporate AI strategy and roadmap, aligning with business objectives and digital initiatives. Champion the establishment of AI software engineering standards and adoption of AI-assisted coding frameworks to enhance software development agility. Evaluate emerging technologies, platforms and solutions for competitive advantage. * Design, develop, and oversee the implementation of scalable, secure, and reliable AI platforms for 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) and strong 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 secure AI 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. Interested parties please send your resume, present and expected salary, contact details and quoting the reference number by clicking "Apply Now" Visit our web site: http://www.octopus.com.hk/ [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. Octopus Holdings Limited 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 while designing scalable, secure AI platforms and agentic workflows. Establish LLMOps standards and lead AI governance to ensure compliance with cybersecurity and ethical standards.