AI Engineering Lead

Role purpose: APAC is building AI capability in-house, and this role owns the technical delivery of it; forming a team, and designing and building the solutions.

Responsibilities:

Delivery of AI projects

• Partner with the AI Transformation Head and CTO to identify, prioritize, and scale AI use cases.
• Own end-to-end delivery of approved use cases (Gen AI, Conversational, Voice, Vision, Agentic AI): design, build, test, deploy, monitor.
• Provide technical reviews on AI vendor engagements .
• Take handover from vendor build-and-transfer engagements and run them as business-as-usual.

AI platform and architecture

• Own the AI platform: model access, retrieval infrastructure, the agent runtime, the tool registry, and observability across every agent action.
• Design the enterprise architecture patterns that make agents more efficient with a lower TCO.
• Work with the Integration Architect on exposing LOS / LMS functions as services, and on MCP connectors.
• Manage the AI infra and consumption cost, including model, inference and cloud spend against budget.

Team and capability building:

• Hire and lead a small AI engineering team.
• Develop AI skills and capabilities across existing technology teams.

Security, risk and technical compliance:

• Build solutions in compliance with APACs AI Policy and regulatory requirements.
• Manage model risk: privacy, monitoring, drift detection, bias management and explainability.
• Partner with Information Security on the review and sign-off of every AI system.
• Maintain the inventory of live AI systems, with model, prompt and data lineage audit-ready.

Technical expertise:

Gen AI & LLMs | Intelligent Automation & Agentic AI | Speech & Voice AI | Document AI & Vision | Enterprise Architecture | Cloud Platforms (AWS Preferred) | API & Integration Architecture | Cybersecurity & Data Privacy