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Tencent Cloud – AI & LLM Solution Architecture Leader

Job in Singapore, Singapore
Listing for: TENCENT CLOUD INTERNATIONAL PTE. LTD.
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Cloud Computing: Infrastructure & Operations, Technical Sales
Salary/Wage Range or Industry Benchmark: 180000 - 280000 SGD Yearly SGD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

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 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 Token Hub, 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.

Token Hub 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. Product Link:

Responsibilities

Lead 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.

Architect enterprise-scale AI and LLM solutions leveraging Tencent Cloud Token Hub, Tencent Hy foundation models, AI Agents, MCP ecosystem, and enterprise AI services to address complex business challenges across multiple industries.

Drive 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.

Lead complex technical workshops, architecture reviews, executive briefings, Proof-of-Concepts (POCs), technical evaluations, and production readiness assessments to accelerate enterprise AI adoption.

Partner closely with Sales leadership on strategic pursuits, technical proposals, RFPs, tender responses, executive customer engagements, and large-scale AI transformation opportunities.

Collaborate 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.

Establish reusable implementation methodologies, reference architectures, technical assets, and best practices while providing technical mentoring and architecture governance across complex customer engagements.

Represent Tencent Cloud at executive forums, customer innovation workshops, technical conferences, and industry events to strengthen Tencent Cloud's AI thought leadership across global markets.

Who We Look For

Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.

Minimum 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.

Deep expertise across enterprise AI technologies including LLMs, Prompt Engineering,…

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