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AI & LLM Solution Architect; Europe

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Tencent Cloud
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 150000 GBP Yearly GBP 90000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Tencent Cloud – AI & LLM Solution Architect (Europe)
Location: Greater London

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), Fin Tech (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 Token Hub - 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. Token Hub 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:

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 Token Hub, 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…
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