Senior Systems Analyst (Information Technology) – AI Platform Engineer

The Hong Kong Monetary Authority (HKMA) is charged with the responsibility for maintaining the stability and integrity of the monetary and financial systems of Hong Kong.

The HKMA is on the exciting journey of simplifying and transforming our business and IT landscape. With a multi-year digitalisation programme within the organisation, we are growing our AI \& Innovation team. An exciting time lies in store for us and there is now an excellent opportunity for eligible candidates to apply for the following position:

Senior Systems Analyst (Information Technology) – AI Platform Engineer

As an AI Platform Engineer, you will develop, maintain, test and evaluate platform solutions supporting the next generation AI Platform. You will also be involved in the design of other solutions, matching capabilities to priority business challenges.

Contribute in AI Platform development, including monitoring, logging and deployment of proprietary, open-source or in-house developed applications

Conduct AI platform proof-of-concept (PoC) and acceptance testing

Develop services and integrate them with internal and external APIs / MCPs

Identify and evaluate new technologies that improve performance, maintainability and scalability of our infrastructure

Provide visibility into the structure, state and performance of the AI platform

Work closely with Architects, Platform Engineers and Product Owners to deliver software in a continuous delivery environment

Work closely with AI Engineers and business stakeholders to assist in the development and deployment of AI model and application

University degree in computer science, software engineering, or related fields

At least 3 years of experience in platform/AI development with proven experience in system design and infrastructure-as-code (IaC), preferably with solid grounding in financial service and working experience in an international team

Experience in delivery of AI platform or data platform with GPU infrastructure preferred

Certification and experience in public cloud platform (AWS, Azure, AliCloud) preferred

Experience with MLOps/LLMOps in a large-scale enterprise environment a plus

Experience in the following technology stack is preferable

• Scripting: Python, SQL, Bash and Powershell

• Infrastructure: Docker, Terraform, Helm, Kubernetes

• DevSecOps Suite: Jenkins, JIRA, Sonar, Git, Ansible, Nexus, Harbor

• Monitoring: Grafana, Loki, Prometheus

• Test Framework: jMeter, jUnit, PyTest

• Vector DB: Weaviate, Milvus, ElasticSearch, Qdrant, etc.

• AI Orchestration: Langchain, LlamaIndex, LangGraph etc.

• AI Platform: Jupyter, MLFlow, Ray, vLLM, Dify

Excellent communication skills and data driven thinking capabilities

Conditions of service

Appointment will be made on fixed contract terms

A competitive remuneration package will be offered. There is flexibility to take account of additional experience and qualifications

Fringe benefits include medical and dental benefits, paid annual leave and contract-end gratuity