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devopsroles

Tencent Cloud – AI & LLM Solution Architect

Tencent Open · verified Oct 24, 2026
United Kingdom-London Full-time Mid-level Cloud

At a glance

Mid-level Cloud role at Tencent. United Kingdom-London · full-time · no salary stated · we estimate £68,296–£76,741 across the United Kingdom.

Estimated pay

Tencent has not published a salary for this role. The figure below is our estimate, not theirs.

£68,296 – £76,741
What the middle half of mid-level cloud roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 7 postings that stated pay, median £76,741. Last updated Oct 13, 2026.
RoleCloud
SeniorityMid-level
LocationUnited Kingdom-London
EmploymentFull-time
PostedSep 7, 2026 · 6w ago
Role brief

devopsroles summary, based on the employer's posting.

What you'll do

  • Turn enterprise challenges into AI and LLM designs using TokenHub, foundation models, agents and related tools
  • Run technical workshops and architecture reviews, then guide proofs of concept through deployment planning
  • Work with customer engineers to resolve implementation problems and improve AI applications in production
  • Feed customer needs to product, engineering and research teams, and create reusable architectures and implementation guides
  • Lead technical proposals, executive briefings and tender responses for strategic customer opportunities

What you bring

  • A bachelor's degree or higher in computer science, AI, software engineering or a related technical area
  • At least two years in a listed AI, cloud, software engineering or customer-facing technical discipline
  • Practical experience building or deploying enterprise AI on public cloud, including production operations
  • Hands-on knowledge of LLMs, RAG, agents, model tuning, inference and related AI technologies
  • Fluent written and spoken English and Chinese Mandarin

Who this fits

This role suits a customer-facing technical practitioner who can shape enterprise needs into working AI solutions and collaborate across customer and internal teams. You will support enterprise customers and partners across Europe, and Mandarin is required for work with China headquarters.

From the employer

Business Unit

Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.

What the Role Entails

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.

Who We Look For

  • 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.

Opportunity

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Opportunity

Cloud work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind devopsroles.