Platform Architecture Design: Lead the design and development of Agent-native platforms tailored for R&D availability, environment governance, and AIOps; drive the implementation of generative AI technologies to solve complex engineering challenges.
Knowledge Engineering: Build and maintain enterprise-grade vertical domain knowledge bases; implement advanced retrieval and integration strategies to empower intelligent agents with specialized domain expertise.
AI Capability Center: Integrate Large Language Model (LLM) capabilities with internal toolchains and standardized APIs; encapsulate these into reusable intelligent components to establish a centralized AI capability hub, boosting overall R&D and operational efficiency.
Education: Bachelor’s degree or higher in Computer Science, AI, Software Engineering, or a related field.
Core Experience: Proven experience in LLM application development, with a strong track record in AI Agent architecture or RAG system optimization.
Technical Expertise: Deep understanding of AI Agent paradigms, RAG optimization, and standardized tool-use protocols; familiar with the entire pipeline from data processing and vectorization to intelligent generation.
Professionalism: Passionate about driving business efficiency through AI; excellent autonomous learning skills, logical thinking, and cross-functional collaboration capabilities.
Preferred Qualifications
Domain Knowledge: Background in Cloud Computing, IaaS/PaaS, DevOps automation, or AI-driven R&D efficiency.
Collaborative Design: Familiar with Multi-Agent System (MAS) design and standardized agent-to-agent communication protocols/orchestration frameworks.
Community Contribution: Active contributor to open-source AI projects or a track record of high-quality technical publications in AI engineering.
Production Experience: Proven experience in leading or playing a key role in deploying production-grade AI Agent systems.
Location State(s)
US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $145,100.00 to $273,200.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.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
- Bachelor's degree in Computer Science, AI, Software Engineering, or a related field
- Proven experience in LLM application development
- Strong track record in AI Agent architecture or RAG system optimization
- Deep understanding of AI Agent paradigms and standardized tool-use protocols
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.
