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 Alto
The 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.
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 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.
Benefits
Dental insuranceVision insurance401(k)Paid time offEquity / stock options
Additional Information
Business Unit
What the Role Entails
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.
Who We Look For
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.
Tencent · California Palo Alto