主分类：售前解决方案
辅助：交付技术架构（仅展示）
来源 JD 数据（旧分类保留，当前主分类见上方）
{
"schema_version": "via_ai_product_manager_jobs_v1",
"data_type": "ai_product_manager_jobs",
"job": {
"job_title": "Tencent Cloud – AI & LLM Solution Architect",
"job_level": "未披露",AI生成
"work_category": "全职",AI生成
"department": "CSIG",
"location": "巴黎",
"work_mode": "未披露",AI生成
"job_category": "产品"AI生成
},
"company": {
"company_name": "腾讯",
"company_industry": "互联网 / 科技 / 人工智能",
"company_size": "10000人以上",
"company_website": "tencent.com",
"company_description": "腾讯是一家互联网和科技公司，业务覆盖通信与社交、数字内容、游戏、金融科技、企业服务、云计算与人工智能等方向。"
},
"compensation": {
"salary_range": {
"min": "",
"max": "",
"currency": "未披露",
"cycle": "未披露"
},
"benefits": "未披露"
},
"requirements": {
"working_years": "",
"degree": "未披露",
"language": "未披露",AI生成
"visa_support": "未披露",
"responsibilities": "Business Unit\nCloud & 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.\n\nWhat the Role Entails\nPosition Overview\nTencent 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\nResponsibilities\nPartner 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.\nLead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise AI adoption.\nWork directly with customer engineering teams throughout implementation and production rollout, troubleshooting complex technical issues and optimizing AI application performance within enterprise production environments.\nDesign 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.\nCollaborate 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.\nDevelop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate enterprise AI adoption across European customers and partners.\nSupport strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence throughout the customer lifecycle.\n\nWho We Look For\nBachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.\nMinimum 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.\nHands-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.\nExperience 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.\nStrong customer-facing communication, presentation, analytical, and problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.\nExcellent 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.\nSelf-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment.\n\nEqual Employment Opportunity at Tencent\nAs 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.\r\nWork Location: Germany-Frankfurt | France-Paris",
"requirements_text": "岗位要求详情请见上方岗位职责内说明",
"skills": [AI生成
"机器学习",
"团队协作",
"大语言模型",
"检索增强生成",
"智能体开发"
],
"preferred_qualifications": "未披露",
"job_highlights": "未披露"
},
"contact": {
"recruiter_name": "未披露",
"contact_methods": [
{
"type": "apply_link",
"value": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/France-Paris/Tencent-Cloud---AI---LLM-Solution-Architect_R108082-1"
}
]
},
"posting": {
"posting_id": "2096936551404716032",
"post_date": "2026-09-07",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/France-Paris/Tencent-Cloud---AI---LLM-Solution-Architect_R108082-1"
},
"fulltext": "Tencent Cloud – AI & LLM Solution Architect\nBusiness Unit\nCloud & 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.\n\nWhat the Role Entails\nPosition Overview\nTencent 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\nResponsibilities\nPartner 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.\nLead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise AI adoption.\nWork directly with customer engineering teams throughout implementation and production rollout, troubleshooting complex technical issues and optimizing AI application performance within enterprise production environments.\nDesign 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.\nCollaborate 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.\nDevelop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate enterprise AI adoption across European customers and partners.\nSupport strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence throughout the customer lifecycle.\n\nWho We Look For\nBachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.\nMinimum 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.\nHands-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.\nExperience 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.\nStrong customer-facing communication, presentation, analytical, and problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.\nExcellent 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.\nSelf-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment.\n\nEqual Employment Opportunity at Tencent\nAs 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.\r\nWork Location: Germany-Frankfurt | France-Paris\n岗位要求详情请见上方岗位职责内说明",
"standard_classification": {
"std_category_code": "B020",
"std_aux_codes": [
"B031"
],
"std_category_status": null,
"std_taxonomy_version": "20261104"
}
}