{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Tencent Cloud – AI & LLM Solution Architect (Singapore)",
        "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。"
    },
    "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 OverviewTencent Cloud is seeking an AI & LLM Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across APAC. 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'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 work closely with enterprise customers, Product, Engineering, Research, and Sales teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will act as the technical bridge between customers and Tencent Cloud's AI product organization, bringing customer feedback into product evolution while accelerating enterprise AI adoption. TokenHub provides unified access to Tencent Hy and leading third-party LLMs through a single API, together with enterprise-grade inference, monitoring, deployment, and model management capabilities. Product Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav\nResponsibilitiesPartner with enterprise customers to understand business challenges, identify AI transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services.\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 solution performance in production environments.\nDesign scalable AI architectures utilizing Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, MCP, model fine-tuning, inference optimization, vector databases, API integration, and cloud-native AI services.\nCollaborate closely with Product, Engineering, and Research teams to translate customer requirements into platform enhancements, influence product roadmap decisions, and continuously improve developer experience through real-world customer feedback.\nDevelop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate AI adoption across enterprise 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\nJob RequirementsBachelor'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 AI model deployment, inference services, 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#LI-LS1\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",
            "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/Singapore-CapitaSky/Tencent-Cloud---AI---LLM-Solution-Architect--Singapore-_R108092"
            }
        ]
    },
    "posting": {
        "posting_id": "2099337396280803328",
        "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-Architect--Singapore-_R108092"
    },
    "fulltext": "Tencent Cloud – AI & LLM Solution Architect (Singapore)\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 an AI & LLM Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across APAC. 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'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 work closely with enterprise customers, Product, Engineering, Research, and Sales teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will act as the technical bridge between customers and Tencent Cloud's AI product organization, bringing customer feedback into product evolution while accelerating enterprise AI adoption. TokenHub provides unified access to Tencent Hy and leading third-party LLMs through a single API, together with enterprise-grade inference, monitoring, deployment, and model management capabilities. Product Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav\nResponsibilitiesPartner with enterprise customers to understand business challenges, identify AI transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services.\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 solution performance in production environments.\nDesign scalable AI architectures utilizing Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, MCP, model fine-tuning, inference optimization, vector databases, API integration, and cloud-native AI services.\nCollaborate closely with Product, Engineering, and Research teams to translate customer requirements into platform enhancements, influence product roadmap decisions, and continuously improve developer experience through real-world customer feedback.\nDevelop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate AI adoption across enterprise 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\nJob RequirementsBachelor'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 AI model deployment, inference services, 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#LI-LS1\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",
    "standard_classification": {
        "std_category_code": "B031",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}