Opportunity Cloud work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
devopsroles

Tencent Cloud – AI & LLM Solution Architect (Singapore)

Tencent Open · verified Oct 24, 2026
Singapore-CapitaSky Full-time Mid-level Cloud

At a glance

Mid-level Cloud role at Tencent. Singapore-CapitaSky · full-time.

Pay not stated Cloud salary

RoleCloud
SeniorityMid-level
LocationSingapore-CapitaSky
EmploymentFull-time
PostedSep 14, 2026 · 5w ago
Role brief

devopsroles summary, based on the employer's posting.

What you'll do

  • Map enterprise challenges to AI designs built with TokenHub, Tencent Hy models, agents and related cloud services
  • Lead customer workshops and architecture sessions, then prepare proofs of concept, technical checks and rollout plans
  • Support customer engineering teams through implementation, fix complex issues and tune solutions running in production
  • Shape scalable systems with LLMs, RAG, prompt design, vector databases, fine-tuning and cloud-native AI services
  • Bring customer feedback to product teams and produce reusable architectures, sample apps and implementation guidance

What you bring

  • A degree in computer science, artificial intelligence, software engineering or another related technical discipline
  • At least two years in generative AI, cloud computing, software engineering or another listed technical area
  • Practical experience putting enterprise AI software into use on public cloud, including model delivery and production support
  • Hands-on ability with LLMs, prompt engineering, RAG, AI agents, MCP, vector databases and other listed AI techniques
  • Fluent written and spoken English, plus Mandarin for technical collaboration with China headquarters

Who this fits

This customer-facing technical role suits you if you combine solution design with practical AI implementation and can work directly with enterprise customers. You’ll collaborate with product, engineering and research colleagues, and support proposals, reviews and executive presentations.

From the employer

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 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

Responsibilities

  • Partner 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.
  • Lead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise AI adoption.
  • Work directly with customer engineering teams throughout implementation and production rollout, troubleshooting complex technical issues and optimizing solution performance in production environments.
  • Design 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.
  • Collaborate 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.
  • Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices that accelerate AI adoption across enterprise customers and partners.
  • Support strategic enterprise opportunities by leading technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence throughout the customer lifecycle.

Who We Look For

Job Requirements

  • Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
  • Minimum 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.
  • Hands-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.
  • Experience developing or deploying enterprise AI applications on public cloud platforms, with practical knowledge of AI model deployment, inference services, and production operations.
  • Strong customer-facing communication, presentation, analytical, and problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
  • Excellent 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.
  • Self-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment.

Equal Employment Opportunity at Tencent

As 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.

Opportunity

Cloud work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Cloud

Find me work

By the team behind devopsroles.

Find me work
Opportunity

Cloud work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind devopsroles.