Tencent Cloud – AI & LLM Solution Architect (Europe)

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 is a leading global technology company focused on connecting people and developing innovative products and services that improve the quality of life of people around the world. Founded in 1998 and publicly traded on the Hong Kong Stock Exchange since 2004, Tencent offers a variety of products and services, including leading communication and social platforms (Weixin/WeChat), high-quality entertainment (from video games, music, TV and film, sport and literature), FinTech (WeChat Pay and QQ Wallet) and industry-leading cloud products and services.

Headquartered in Shenzhen, we have offices around the world, including in Amsterdam, London, Berlin, Los Angeles, Palo Alto, Seattle, New York, Tokyo, Singapore, Bangkok, and Seoul. We have been recognized by Forbes as one of the World's Best Employers (2021), a Top 100 Digital Company (2019) and one of the World's Most Innovative Companies (2018). Tencent is committed to recruiting, mentoring, and developing a diverse workforce that is broadly representative of the communities it serves.

Position Overview

Tencent Cloud is seeking an AI & LLM Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across Europe. This customer-facing technical role combines solution architecture, customer engineering, and hands-on AI implementation to help enterprises design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud TokenHub - a unified AI platform providing access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem - you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will serve as the technical bridge between customers and Tencent Cloud's AI product organization, translating real-world customer requirements into product enhancements while accelerating enterprise AI adoption. TokenHub provides enterprises and developers with a unified gateway to leading foundation models through a single API, together with enterprise-grade model management, inference, deployment, monitoring, and AI application capabilities. Product Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav

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 Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), model fine-tuning, inference optimization, vector databases, API integration, AI workflow orchestration, and cloud-native AI services.
• Collaborate closely with Product, Engineering, and Research teams to translate customer requirements into platform enhancements, improve developer experience, and continuously evolve Tencent Cloud's AI platform through customer-driven feedback.
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate enterprise AI adoption across European customers and partners.
• Support strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence throughout the customer lifecycle.

Job 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 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.
• Self-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.