AI Architect

The AI Architect role delivers technical leadership in designing and implementing AI solutions across the organisation's business units. It focuses on adapting central AI frameworks into scalable workflows and ensuring alignment with enterprise standards. The position is based in an on-site environment within Asia, with a project duration of two weeks starting from the 8th of July, 2026.

About the Company [Limited data provided — review with hiring manager before publishing].

Role Overview

The AI Architect joins a team responsible for developing and deploying AI systems within the organisation. Reporting to senior engineering leadership, the role involves overseeing model deployment, optimisation, and establishing best practices for AI engineering. Success is measured by delivering high-quality, scalable AI solutions that meet operational requirements and enhance the company’s AI capabilities. The role also includes mentoring junior staff and staying updated on industry trends.

Key Skills & Experience

• Lead the architectural design and engineering implementation of AI solutions across business units
• Adapt and re-engineer central AI frameworks into scalable workflows
• Define and enforce best practices for AI engineering including CI/CD, monitoring, and governance
• Stay current with AI/ML technology trends in financial services and internet industries

[Limited data provided — review with hiring manager before publishing].

Key Responsibilities

• Lead the design and development of AI workflows, including model deployment and inference optimisation
• Coordinate with business stakeholders to gather requirements and translate operational needs into technical solutions
• Establish and maintain engineering standards, CI/CD workflows, and monitoring frameworks
• Mentor junior engineers and data scientists to foster engineering excellence
• Stay informed of emerging AI/ML trends and evaluate new tools or methodologies for the organisation

Requirements

• Right to work in the specified location
• PhD in Computer Science, Engineering, or a closely related field
• Minimum 3 years of experience in AI system design, development, and deployment
• Proven experience in model deployment, inference optimisation, and MLOps tools (e.g., Kubernetes, Docker, CI/CD)
• Strong programming skills in Python (PyTorch/TensorFlow)
• Familiarity with building AI workflows and integrating with enterprise systems via RESTful APIs
• Ability to perform system analysis and collaborate effectively with cross-functional teams
• Fluent in Mandarin and English; Cantonese is a plus
• Familiarity with cloud platforms (GCP, Azure, AWS), databases (SQL/NoSQL), and Linux/Unix environments

If you have the relevant skills and experience, please apply with an updated CV.