Global AI & LLM Solutions Architect Lead

Tencent; Singapore; On-site; SGD 240,000 - 360,000; Full time

Job summary

Tencent Cloud is seeking a Lead AI & LLM Solution Architect to drive the technical success and enterprise adoption of Tencent Cloud’s AI platform across global markets. You will lead technical engagements, design scalable AI architectures, and partner with Product, Engineering, Research, and Commercial teams to deliver production-ready AI applications across diverse industries.

The position requires deep expertise in Generative AI, LLMs, and cloud-native AI architectures, plus strong executive

Qualifications

• Bachelor’s degree in CS or related field.
• 8+ years in Generative AI, LLMs, cloud, and solution architecture.
• Experience leading complex customer-facing engagements.
• Fluent English; Mandarin proficiency is required to collaborate with China HQ.

Responsibilities

• Lead technical engagements for strategic enterprise customers across architecture design, deployment, and adoption.
• Architect enterprise-scale AI and LLM solutions using TokenHub, Hy models, and MCP ecosystem.
• Drive customer engineering initiatives to prototype, validate, deploy, and optimize production AI applications.
• Lead workshops, architecture reviews, and POCs to accelerate enterprise AI adoption.
• Collaborate with Sales for technical proposals and large-scale AI transformation opportunities.
• Align with Product/Engineering/Research to influence roadmaps and improve developer experience.
• Establish reusable methodologies, reference architectures, and technical assets; mentor teams.

Skills

Generative AI

LLMs

Solution Architecture

Cloud Computing

Enterprise Consulting

Leadership

Education

Bachelor’s degree in Computer Science

Tools

TokenHub

Tencent Hy

Model Context Protocol

Vector databases

Job description

Tencent Cloud is seeking a Lead AI & LLM Solution Architect to drive the technical success and enterprise adoption of Tencent Cloud’s AI platform across global markets. You will lead technical engagements, design scalable AI architectures, and partner with Product, Engineering, Research, and Commercial teams to deliver production-ready AI applications across diverse industries.

The position requires deep expertise in Generative AI, LLMs, and cloud-native AI architectures, plus strong executive