AI Platform Engineering Lead

Octopus Holdings Limited; Hong Kong; On-site; HKD 1,500,000 - 2,100,000; Full time

Job summary

Octopus Holdings Limited, a leading Hong Kong fintech, invites a senior AI leader to define and drive the corporate AI strategy and scalable platforms. You will guide governance, security, and compliance while partnering with business units to deliver enterprise AI capabilities at scale.

You will oversee LLMs, RAG, and AI tooling, mentor engineers, and align AI initiatives with regulatory requirements and data protection standards.

Qualifications

• Bachelor's degree in CS/AI/DS/SE or related field; Master's preferred.
• 10+ years in software engineering and solution architecture; at least 3 years in AI/ML/Generative AI.
• Proven track record delivering enterprise AI in regulated sectors (banking/fintech).
• Hands-on with Generative AI (LLMs, RAG, agentic workflows) and strong engineering skills (Python, Java, RESTful APIs).
• Experience with cloud platforms, LLMOps, secure deployments, governance and data security.

Responsibilities

• Define and drive the corporate AI strategy and roadmap, aligning with business goals.
• Design, develop, and oversee scalable, secure AI platforms for enterprise use.
• Lead deployment of AI components including LLMs, RAG, and agentic workflows.
• Establish LLMOps and AgentOps standards with monitoring and QA.
• Define enterprise architecture standards for responsible AI, governance, and compliance.
• Collaborate with leadership to prioritize AI initiatives and increase AI literacy.

Skills

AI leadership

Communication

Problem solving

Software engineering

Education

Bachelor's degree in CS/AI/DS/SE

Master's degree in AI/ML/DS

Tools

Python

Java

RESTful APIs

Microservices

LLMs

RAG

Agent workflows

Job description

Octopus Holdings Limited, a leading Hong Kong fintech, invites a senior AI leader to define and drive the corporate AI strategy and scalable platforms. You will guide governance, security, and compliance while partnering with business units to deliver enterprise AI capabilities at scale.

You will oversee LLMs, RAG, and AI tooling, mentor engineers, and align AI initiatives with regulatory requirements and data protection standards.