Job Description - AI Engineering Lead (GenAI / Platform)
Be part of a flagship AI transformation programme
High visibility role working across business and technology teams
About Our Client
We are partnering with a leading financial institution in Hong Kong that is undergoing a large-scale digital transformation, with strong investment in AI, data, and innovation capabilities. As part of this journey, they are expanding their AI engineering team and looking for an experienced AI Platform Lead to drive the development of next-generation AI infrastructure.
This is an exciting opportunity to play a key role in building and scaling an enterprise AI platform from the ground up, supporting advanced AI use cases including Generative AI and knowledge-based systems.
Job Description
Lead a team of engineers in designing and building scalable AI / ML platforms
Drive adoption of MLOps, LLMOps, and AI operational frameworks to improve model lifecycle management
Design and implement AI infrastructure (on-prem / hybrid) with strong focus on performance and scalability
Partner with data scientists and AI engineers to support model development, deployment, and optimisation (e.g. RAG-based solutions)
Develop and manage Infrastructure-as-Code (Terraform, Kubernetes, etc.)
Evaluate new AI technologies and lead proof-of-concept initiatives
Act as a key interface between business stakeholders and technical teams, managing expectations, priorities, and delivery scope
Perform hands-on technical work , including design reviews, coding, and solution validation
The Successful Applicant
Degree in Computer Science, Engineering, or related discipline
Proven experience in AI/ML platform engineering or AI infrastructure development
Strong understanding of modern AI concepts such as GenAI, RAG pipelines, LLM frameworks
Experience with MLOps / LLMOps practices and AI deployment lifecycle
Hands-on experience with containerisation and orchestration (Docker, Kubernetes)
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