1.Provide technical consultation for Tencent Cloud's IaaS and computing products, deeply understanding customer requirements to design public cloud infrastructure solutions.
2.Lead technical solution delivery, including requirement gathering, proposal writing, deployment planning, and issue resolution for IaaS/PaaS projects.
3.Identify client needs and market trends in cloud and AI computing, translating insights into actionable feedback for product development.
4.Develop and maintain tailored technical solution documents involving Tencent Cloud products (e.g., containers, networking, storage, AI/ML platforms).
5.Deliver product enablement and best practice sharing across industries, supporting internal and external stakeholders with technical guidance and documentation.
Who We Look For1.Master’s degree or above in Artificial Intelligence, Computer Science, more than 5 years of working experience in the AI field.
2.Strong foundation in cloud computing and IT architecture, including servers, containers, networking, storage, and databases; in-depth knowledge of at least 1–2 technical domains.
3.Familiar with deep learning frameworks such as PyTorch, TensorFlow, and DeepSpeed, and knowledgeable about AI training/inference workflows and model optimization.
4.Strong technical writing and visualization skills to communicate architecture and solutions effectively.
5.Excellent fluency in English and local language, and Chinese will be a plus.
Equal Employment Opportunity at TencentAs 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.
Skills Required
- Master's degree or above in Artificial Intelligence or Computer Science
- More than 5 years of working experience in the AI field
- Strong foundation in cloud computing and IT architecture
- In-depth knowledge of at least 1-2 technical domains
- Familiar with deep learning frameworks such as PyTorch, TensorFlow, and DeepSpeed
- Strong technical writing and visualization skills
- Excellent fluency in English and local language
- Chinese will be a plus
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
Tencent Insights
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
