AI & LLM Solution Architect (Singapore)

About the role

Tencent Cloud is seeking an AI & LLM Solution Architect to accelerate the adoption of its enterprise AI platform across APAC. This customer-facing technical role combines solution architecture, customer engineering and hands-on AI implementation, helping enterprises design, build, deploy and scale production-ready AI applications. It works closely with customers, Product, Engineering, Research and Sales teams, and acts as the technical bridge between customers and the AI product organization.

Key responsibilities

• Partner with enterprise customers to understand their challenges, identify AI transformation opportunities and design end-to-end AI and LLM solutions using Tencent Cloud's AI portfolio.
• Lead technical discovery workshops, architecture design sessions, proof-of-concepts, technical validation and production deployment planning.
• Work with customer engineering teams during implementation and rollout, troubleshooting issues and optimizing solution performance.
• Design scalable AI architectures covering LLMs, prompt engineering, RAG, AI agents, MCP, model fine-tuning, inference optimization, vector databases, API integration and cloud-native AI services.
• Collaborate with Product, Engineering and Research teams to turn customer needs into platform improvements and influence the product roadmap.
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks and best practices.
• Support strategic opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses and technical due diligence.

Required profile

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related field.
• At least 2 years of experience in generative AI, LLMs, machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture or customer-facing technical consulting.
• Experience developing or deploying enterprise AI applications on public cloud platforms.
• Strong customer-facing communication, presentation, analytical and problem-solving skills.
• Excellent written and spoken English; proficiency in Mandarin Chinese is required to collaborate with the China headquarters.

Required skills

• 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.
• Knowledge of AI model deployment, inference services and production operations.