Global AI & LLM Solutions Architect Lead

TENCENT CLOUD INTERNATIONAL PTE. LTD.

Singapore

On-site

SGD 180,000 - 280,000

Full time

14 days+
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Job summary

Tencent Cloud International PTE. LTD. is seeking a Lead AI & LLM Solution Architect to drive technical success and enterprise adoption of Tencent Cloud's AI platform across global markets.

The role requires crafting scalable AI architectures, leading customer engagements, and collaborating with Product, Engineering, and Sales to deliver production-ready AI solutions using TokenHub, Hy models, and MCP ecosystem.

Qualifications

  • 8+ years in Generative AI, LLMs, ML, cloud, or enterprise tech consulting.
  • Experience leading complex customer-facing technical engagements.
  • Expertise in LLMs, Prompt Engineering, MCP, RAG, vector databases, and cloud-native AI.

Responsibilities

  • Lead technical engagements for strategic enterprise customers as the primary technical advisor.
  • Architect enterprise-scale AI and LLM solutions using Tencent Cloud TokenHub, Hy models, MCP, and AI services.
  • Prototype, validate, deploy, and optimize production-ready AI apps and cloud-native AI architectures.
  • Lead workshops, architecture reviews, POCs, technical evaluations, and production readiness assessments.
  • Collaborate with Sales on strategic pursuits, technical proposals, RFPs, and executive engagements.
  • Influence product roadmap with Product, Engineering, and Research to improve developer experience.

Skills

Generative AI
LLMs
Cloud computing
Solution architecture
Client engagement

Education

Bachelor's degree or above in CS/AI/SE

Tools

Model deployment
Observability
APIs

Job description

Tencent Cloud International PTE. LTD. is seeking a Lead AI & LLM Solution Architect to drive technical success and enterprise adoption of Tencent Cloud's AI platform across global markets.

The role requires crafting scalable AI architectures, leading customer engagements, and collaborating with Product, Engineering, and Sales to deliver production-ready AI solutions using TokenHub, Hy models, and MCP ecosystem.

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