AI & LLM Solution Architecture Leader

About the role

Tencent Cloud is seeking a Lead AI & LLM Solution Architect to drive the technical success and enterprise adoption of its AI platform across global markets. The role combines technical leadership, customer engineering and solution architecture, helping strategic customers design, build, deploy and scale production-ready AI applications using Tencent Cloud's AI portfolio, including TokenHub, Tencent Hunyuan foundation models, third-party LLMs, AI Agents and the Model Context Protocol (MCP) ecosystem.

Key responsibilities

• Lead technical engagements for strategic enterprise customers as their primary technical advisor, covering discovery, architecture design, implementation, deployment, optimization and adoption.
• Architect enterprise-scale AI and LLM solutions using TokenHub, Tencent Hunyuan, AI Agents, MCP and enterprise AI services.
• Partner with customer engineering teams to prototype, validate, deploy and optimize production-ready AI applications and cloud-native AI architectures.
• Run technical workshops, architecture reviews, executive briefings, POCs, technical evaluations and production readiness assessments.
• Work with Sales on strategic pursuits, technical proposals, RFPs, tender responses and large-scale AI transformation opportunities.
• Collaborate with Product, Engineering and Research to shape the product roadmap, developer experience and the AI platform.
• Build reusable implementation methodologies, reference architectures and technical assets, and provide technical mentoring and architecture governance.
• Represent Tencent Cloud at executive forums, customer workshops, technical conferences and industry events.

Required profile

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related field.
• Minimum 8 years of experience in generative AI, LLMs, machine learning, cloud computing, software engineering, solution architecture or enterprise technical consulting, including leading complex customer-facing technical engagements.
• Excellent written and spoken English; proficiency in Mandarin Chinese is required to work with the China headquarters.
• Proven ability to lead technical strategy, influence executives, mentor solution architects or engineering teams and drive customer outcomes.

Required skills

• Deep expertise in LLMs, prompt engineering, RAG, AI Agents, MCP, model fine-tuning, inference optimization, vector databases, AI workflow orchestration, API integration and cloud-native AI architectures.
• Experience designing, implementing and scaling enterprise AI applications on public cloud platforms, including model deployment, observability and production operations.