主分类：交付技术架构
来源 JD 数据（旧分类保留，当前主分类见上方）
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"job_title": "Tencent Cloud – AI & LLM Solution Architecture Leader",
"job_level": "未披露",AI生成
"work_category": "全职",AI生成
"department": "CSIG",
"location": "新加坡",
"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。"
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"currency": "未披露",
"cycle": "未披露"
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"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 OverviewTencent Cloud is seeking a Lead AI & LLM Solution Architect to drive the technical success and enterprise adoption of Tencent Cloud's AI platform across global markets. This role combines technical leadership, customer engineering, and solution architecture to help strategic customers design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud's AI portfolio, including TokenHub, Tencent Hy foundation models, leading third-party Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem, you will partner closely with enterprise customers, Product, Engineering, Research, and Commercial teams to solve complex AI challenges while shaping the future evolution of Tencent Cloud's AI platform. TokenHub provides enterprises with a unified gateway to Tencent Hy and leading third-party LLMs, together with enterprise-grade model management, inference, deployment, and AI application capabilities.\nProduct Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav\n \nResponsibilitiesLead technical engagements for strategic enterprise customers, serving as the primary technical advisor throughout AI solution discovery, architecture design, implementation, deployment, optimization, and long-term adoption.\nArchitect enterprise-scale AI and LLM solutions leveraging Tencent Cloud TokenHub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services to address complex business challenges across multiple industries.\nDrive customer engineering initiatives by partnering directly with customer engineering teams to prototype, validate, deploy, and optimize production-ready AI applications and cloud-native AI architectures.\nLead complex technical workshops, architecture reviews, executive briefings, Proof-of-Concepts (POCs), technical evaluations, and production readiness assessments to accelerate enterprise AI adoption.\nPartner closely with Sales leadership on strategic pursuits, technical proposals, RFPs, tender responses, executive customer engagements, and large-scale AI transformation opportunities.\nCollaborate with Product, Engineering, and Research teams to influence product roadmap, prioritize customer-driven enhancements, improve developer experience, and continuously strengthen Tencent Cloud's AI platform.\nEstablish reusable implementation methodologies, reference architectures, technical assets, and best practices while providing technical mentoring and architecture governance across complex customer engagements.\nRepresent Tencent Cloud at executive forums, customer innovation workshops, technical conferences, and industry events to strengthen Tencent Cloud's AI thought leadership across global markets.\n\nWho We Look For\nBachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.\nMinimum 8 years of experience in Generative AI, Large Language Models (LLMs), machine learning, cloud computing, software engineering, solution architecture, or enterprise technical consulting, including leading complex customer-facing technical engagements.\nDeep expertise across enterprise AI technologies including LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), model fine-tuning, inference optimization, vector databases, AI workflow orchestration, API integration, and cloud-native AI architectures.\nStrong experience designing, implementing, and scaling enterprise AI applications on public cloud platforms, with practical knowledge of model deployment, inference optimization, observability, and production operations.\nProven ability to lead technical strategy, influence executive stakeholders, mentor solution architects or engineering teams, and drive successful customer outcomes across complex enterprise environments.\nExcellent written and spoken English is required. Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product strategy, technical planning, and cross-functional initiatives.\nStrong commercial acumen, executive communication skills, and a passion for emerging AI technologies with the ability to bridge customer needs, product innovation, and business growth.\n#LI-JY1\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: Singapore-CapitaSky",
"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",
"沟通能力",
"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": [
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"type": "apply_link",
"value": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/Tencent-Cloud---AI---LLM-Solution-Architecture-Leader_R108088-1"
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"posting": {
"posting_id": "2099337391167946752",
"post_date": "2026-09-13",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/Tencent-Cloud---AI---LLM-Solution-Architecture-Leader_R108088-1"
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"fulltext": "Tencent Cloud – AI & LLM Solution Architecture Leader\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 OverviewTencent Cloud is seeking a Lead AI & LLM Solution Architect to drive the technical success and enterprise adoption of Tencent Cloud's AI platform across global markets. This role combines technical leadership, customer engineering, and solution architecture to help strategic customers design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud's AI portfolio, including TokenHub, Tencent Hy foundation models, leading third-party Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem, you will partner closely with enterprise customers, Product, Engineering, Research, and Commercial teams to solve complex AI challenges while shaping the future evolution of Tencent Cloud's AI platform. TokenHub provides enterprises with a unified gateway to Tencent Hy and leading third-party LLMs, together with enterprise-grade model management, inference, deployment, and AI application capabilities.\nProduct Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav\n \nResponsibilitiesLead technical engagements for strategic enterprise customers, serving as the primary technical advisor throughout AI solution discovery, architecture design, implementation, deployment, optimization, and long-term adoption.\nArchitect enterprise-scale AI and LLM solutions leveraging Tencent Cloud TokenHub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services to address complex business challenges across multiple industries.\nDrive customer engineering initiatives by partnering directly with customer engineering teams to prototype, validate, deploy, and optimize production-ready AI applications and cloud-native AI architectures.\nLead complex technical workshops, architecture reviews, executive briefings, Proof-of-Concepts (POCs), technical evaluations, and production readiness assessments to accelerate enterprise AI adoption.\nPartner closely with Sales leadership on strategic pursuits, technical proposals, RFPs, tender responses, executive customer engagements, and large-scale AI transformation opportunities.\nCollaborate with Product, Engineering, and Research teams to influence product roadmap, prioritize customer-driven enhancements, improve developer experience, and continuously strengthen Tencent Cloud's AI platform.\nEstablish reusable implementation methodologies, reference architectures, technical assets, and best practices while providing technical mentoring and architecture governance across complex customer engagements.\nRepresent Tencent Cloud at executive forums, customer innovation workshops, technical conferences, and industry events to strengthen Tencent Cloud's AI thought leadership across global markets.\n\nWho We Look For\nBachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.\nMinimum 8 years of experience in Generative AI, Large Language Models (LLMs), machine learning, cloud computing, software engineering, solution architecture, or enterprise technical consulting, including leading complex customer-facing technical engagements.\nDeep expertise across enterprise AI technologies including LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), model fine-tuning, inference optimization, vector databases, AI workflow orchestration, API integration, and cloud-native AI architectures.\nStrong experience designing, implementing, and scaling enterprise AI applications on public cloud platforms, with practical knowledge of model deployment, inference optimization, observability, and production operations.\nProven ability to lead technical strategy, influence executive stakeholders, mentor solution architects or engineering teams, and drive successful customer outcomes across complex enterprise environments.\nExcellent written and spoken English is required. Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product strategy, technical planning, and cross-functional initiatives.\nStrong commercial acumen, executive communication skills, and a passion for emerging AI technologies with the ability to bridge customer needs, product innovation, and business growth.\n#LI-JY1\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: Singapore-CapitaSky\n岗位要求详情请见上方岗位职责内说明",
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