Tencent Cloud Lead AI & LLM Solution Architect (Singapore)

Tencent; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Tencent Cloud is seeking a Lead AI & LLM Solution Architect to drive technical success and enterprise adoption of Tencent Cloud's AI platform across global markets. You will lead engagements, design scalable AI solutions, and partner with product, engineering, research, and sales to deliver production-ready deployments.

The role demands deep expertise in generative AI, LLMs, and cloud-native architectures, plus strong English communication and collaboration with China HQ on strategy and roadmap.

Qualifications

• 8+ years in Generative AI, LLMs, ML, cloud, or enterprise tech consulting.
• Proven experience leading complex customer-facing engagements.

Responsibilities

• Lead technical engagements for strategic enterprise customers, acting as primary technical advisor through discovery, architecture design, implementation, deployment, and adoption.
• Architect enterprise-scale AI/LLM solutions leveraging TokenHub, Hy models, MCP, AI services across industries.
• Drive customer engineering initiatives to prototype, validate, deploy, and optimize production AI apps and cloud-native architectures.
• Lead workshops, architecture reviews, executive briefings, POCs, and production readiness assessments to accelerate adoption.
• Partner with Sales on strategic pursuits, technical proposals, RFPs, tenders, and executive engagements.
• Collaborate with Product/Engineering/Research to influence roadmap and improve developer experience.
• Establish reusable methodologies, reference architectures, and best practices with technical mentoring and governance.
• Represent Tencent Cloud at executive forums, workshops, conferences to reinforce thought leadership across markets.

Skills

Generative AI

LLMs

Solution Architecture

Cloud Computing

Executive Stakeholder Engagement

Mentoring

Education

Bachelor's degree in Computer Science / AI / Software Engineering

Tools

TokenHub

MCP (Model Context Protocol)

Vector Databases

API Integration

Job description

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 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. Product Link: https://www.tencentcloud.com/products/tokenhub?from_qcintl=topnav

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 TokenHub, 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.

Job Requirements

• 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, 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.
• Strong experience designing, implementing, and scaling enterprise AI applications on public cloud platforms, with practical knowledge of model deployment, inference optimization, observability, and production operations.
• Proven ability to lead technical strategy, influence executive stakeholders, mentor solution architects or engineering teams, and drive successful customer outcomes across complex enterprise environments.
• Excellent 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.
• Strong commercial acumen, executive communication skills, and a passion for emerging AI technologies with the ability to bridge customer needs, product innovation, and business growth.