Bank-Grade AI Platform Architect

CMB Wing Lung Bank Limited

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

9 days ago
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Job summary

CMB Wing Lung Bank Limited is seeking an AI Architecture & Infrastructure Engineer to design and build bank-grade AI infrastructure, including data processing, training, deployment, and lifecycle management. You will focus on security hardening, reliability, and scalable AI platform engineering within a banking context, reporting to the Head of AI Platform.

The role requires strong Kubernetes experience, cloud-native skills, and hands-on model serving, with responsibilities spanning data, model

Qualifications

  • Bachelor’s degree in a related field or above.
  • 5+ years in AI platforms, cloud, or distributed infra.
  • Strong programming in Python/Go/Java/C++ and system design.

Responsibilities

  • Design and deliver AI infra architecture and platform.
  • Build scalable model-training and data processing infra.
  • Develop large-model training and fine-tuning pipelines.
  • Operate Kubernetes-based AI workloads and GPU management.
  • Create unified model serving and inference optimization.
  • Implement MLOps/LLMOps pipelines and governance.
  • Lead security hardening, reliability, and resilience.
  • Build observability and production operations for AI workloads.
  • Provide technical leadership and cross-functional delivery.

Skills

Python
Go
Java
C++
Data structures
Distributed systems
Kubernetes
Linux
Cloud-native

Education

Bachelor’s degree

Tools

Kubernetes
Docker
Terraform
Helm
Argo CD
Prometheus
Grafana
OpenTelemetry
Kafka
Redis
PostgreSQL

Job description

CMB Wing Lung Bank Limited is seeking an AI Architecture & Infrastructure Engineer to design and build bank-grade AI infrastructure, including data processing, training, deployment, and lifecycle management. You will focus on security hardening, reliability, and scalable AI platform engineering within a banking context, reporting to the Head of AI Platform.

The role requires strong Kubernetes experience, cloud-native skills, and hands-on model serving, with responsibilities spanning data, model

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