AI & LLM Solution Architect

• Partner with enterprise customers to understand business challenges and identify AI transformation opportunities
• Design end-to-end AI and LLM solutions using Tencent Cloud TokenHub, foundation models, AI Agents, MCP, and enterprise AI capabilities
• Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning
• Work directly with customer engineering teams during implementation and production rollout
• Troubleshoot complex technical issues and optimize AI application performance in enterprise production environments
• Design scalable enterprise AI architectures incorporating LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimization, vector databases, API integration, orchestration, and cloud-native AI services
• Collaborate with Product, Engineering, and Research teams to translate customer requirements into platform enhancements
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices
• Lead technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence
• Serve as the technical bridge between customers and Tencent Cloud’s AI product organization

Requirements

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline
• Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine-tuning, inference optimization, vector databases, AI orchestration frameworks, API integration, and cloud-native AI architectures
• Experience developing or deploying enterprise AI applications on public cloud platforms
• Practical knowledge of multi-model AI orchestration, model deployment, inference services, observability, and production operations
• Strong customer-facing communication, presentation, analytical, and problem-solving skills
• Ability to translate complex business requirements into scalable AI solutions
• Excellent written and spoken English
• Proficiency in Chinese Mandarin
• Ability to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives
• Self-driven with strong learning agility and curiosity for emerging AI technologies
• Ability to thrive in a fast-paced customer-facing environment

Core Competencies

Demonstrates expertise in designing and implementing scalable AI solutions, particularly with Large Language Models (LLMs) and cloud-native architectures. Strong ability to translate complex business challenges into effective AI strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

• Generative AI
• Large Language Models (LLMs)
• AI Orchestration Frameworks
• Cloud-Native AI Architectures
• Customer-Facing Technical Consulting

Hard Skills

• Prompt Engineering
• Model Fine-Tuning
• Inference Optimization
• Vector Databases
• API Integration
• MLOps
• Solution Architecture
• Technical Validation
• Production Deployment
• Enterprise AI Applications

Soft Skills

• Customer-Facing Communication
• Analytical Skills
• Problem-Solving Skills
• Presentation Skills
• Learning Agility

Industry Keywords

• AI Transformation
• Technical Discovery Workshops
• Architecture Design
• Enterprise AI Capabilities
• Cross-Functional Initiatives

Tools & Technologies

• Tencent Cloud TokenHub
• AI Agents
• MCP
• Cloud Computing Platforms
• Technical Playbooks
• Reference Architectures
• Implementation Frameworks
• Observability Tools
• Production Operations