Enterprise AI & LLM Solutions Architect

Tencent; Paris; On-site; EUR 110,000 - 140,000; Full time

Job summary

Tencent is seeking an AI & LLM Solution Architect to accelerate adoption of Tencent Cloud's enterprise AI platform across Europe. This role blends solution architecture, customer engineering, and hands-on AI implementation to design, build, deploy, and scale production-ready AI applications for enterprise customers.

You will work with TokenHub, foundation models, and MCP ecosystem to bridge business challenges with innovative AI solutions, collaborating with Product, Engineering, and Research

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, ML, 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, 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.

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.

Skills

Customer-facing communication

English proficiency

Mandarin proficiency

Learning agility

Education

Bachelor's degree in CS/AI/Software Eng

Tools

TokenHub

Model Context Protocol (MCP)

Vector databases

LLMs

RAG

AI Agents

API integration

Job description

Tencent is seeking an AI & LLM Solution Architect to accelerate adoption of Tencent Cloud's enterprise AI platform across Europe. This role blends solution architecture, customer engineering, and hands-on AI implementation to design, build, deploy, and scale production-ready AI applications for enterprise customers.

You will work with TokenHub, foundation models, and MCP ecosystem to bridge business challenges with innovative AI solutions, collaborating with Product, Engineering, and Research