Enterprise AI & LLM Solutions Architect

Tencent Cloud; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Tencent Cloud seeks an AI & LLM Solution Architect to accelerate adoption of its enterprise AI platform across Europe. You will bridge business challenges with Tencent Cloud TokenHub, design end-to-end AI/LLM solutions, and work with Product, Engineering, and Commercial teams to deliver production-grade AI applications.

You will lead workshops, POCs, and deployments, collaborating with customer engineering teams to ensure scalable, efficient solutions and strong operational readiness across

Qualifications

• 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.
• Hands-on experience with modern AI technologies including 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, with 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 with the ability to translate complex business requirements into scalable AI solutions.
• Excellent written and spoken English is required. Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives.

Responsibilities

• 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, leading foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities.
• Lead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise AI adoption.
• Work directly with customer engineering teams throughout implementation and production rollout, troubleshooting complex technical issues and optimizing AI application performance within enterprise production environments.
• Design scalable enterprise AI architectures utilizing 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 to translate customer requirements into platform enhancements, improve developer experience, and evolve Tencent Cloud's AI platform through feedback.
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices to accelerate adoption across European customers and partners.
• Support strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and due diligence throughout the lifecycle.

Skills

Generative AI

LLMs

Solution architecture

Cloud computing

API integration

MLOps

Customer-facing

Education

Bachelor's degree in Computer Science / AI / Software Engineering

Tools

Tencent TokenHub

Vector databases

Job description

Tencent Cloud seeks an AI & LLM Solution Architect to accelerate adoption of its enterprise AI platform across Europe. You will bridge business challenges with Tencent Cloud TokenHub, design end-to-end AI/LLM solutions, and work with Product, Engineering, and Commercial teams to deliver production-grade AI applications.

You will lead workshops, POCs, and deployments, collaborating with customer engineering teams to ensure scalable, efficient solutions and strong operational readiness across