AI & LLM Solution Architect

About the role

Tencent Cloud is seeking an AI & LLM Solution Architect to accelerate the adoption of its enterprise AI platform across Europe. 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. You will work with enterprise customers, Product, Engineering, Research and Commercial teams, and act as the technical bridge between customers and Tencent Cloud's AI product organization.

Key responsibilities

• Partner with enterprise customers to understand their business challenges, identify AI transformation opportunities and design end-to-end AI and LLM solutions using Tencent Cloud TokenHub, leading foundation models, AI Agents and the MCP ecosystem.
• 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 AI application performance in production.
• Design scalable enterprise AI architectures covering LLMs, prompt engineering, RAG, AI Agents, MCP, model fine-tuning, inference optimization, vector databases, API integration, AI workflow orchestration and cloud-native AI services.
• Collaborate with Product, Engineering and Research teams to turn customer requirements into platform enhancements and improve developer experience.
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks and best practices for European customers and partners.
• 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 technical discipline.
• Minimum 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, with knowledge of multi-model orchestration, model deployment, inference services, observability and production operations.
• Strong customer-facing communication, presentation, analytical and problem-solving skills, able to translate complex business needs into scalable AI solutions.
• Excellent written and spoken English; proficiency in Mandarin Chinese is required to collaborate with the China headquarters.
• Self-driven, with strong learning agility and the ability to thrive in a fast-paced customer-facing environment.

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.
• MLOps and solution architecture.