Tencent Cloud International -AI & LLM Solution Architect

Responsibilities

1. Partner with enterprise customers to understand business challenges, identify AI transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services.
2. Lead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise AI adoption.
3. Work directly with customer engineering teams throughout implementation and production rollout, troubleshooting complex technical issues and optimizing solution performance in production environments.
4. Design scalable AI architectures utilizing Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, MCP, model fine-tuning, inference optimization, vector databases, API integration, and cloud-native AI services.
5. Collaborate closely with Product, Engineering, and Research teams to translate customer requirements into platform enhancements, influence product roadmap decisions, and continuously improve developer experience through real-world customer feedback.
6. Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate AI adoption across enterprise customers and partners.
7. Support strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence throughout the customer lifecycle.

Experience

> 5 years of working experience