# AI Compute Intern [Tencent](https://www.jorb.ai/firms/tencent.md) · Singapore · [Operations](https://www.jorb.ai/jobs/operations.md) Tencent is hiring a AI Compute Intern in Singapore. Posted 2026-09-14; applications close 2026-11-13. **Apply**: https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/AI-Compute-Intern_R108149 Posted 5d ago. ## Role details ## About the Hiring Team Tencent Overseas IT has the mission to empower Tencent’s rapid global growth with future-ready, global IT platforms, applications, and services. The team leads the Overseas IT strategy, architecture, roadmap, and execution. The goal is to satisfy internal and external customers and become a world-class global IT team. ## What the Role Entails We are seeking a highly motivated **AI Forward Deployed Engineering (FDE) Intern** to join Tencent’s Overseas IT (OIT) AI Compute team in Singapore. The team acts as a bridge between internal business teams and engineering/vendor teams to understand AI infrastructure and solution requirements, coordinate resources, and ensure successful delivery. You will gain hands-on exposure to **AI infrastructure, GPU computing, cloud technologies, AI models, and AI agents**, while working closely with stakeholders across different teams and regions. This role is ideal for someone who is **technically curious, highly communicative, proactive, and genuinely interested in how AI can be applied to solve real-world business and infrastructure problems**. There may be an opportunity to **convert to a full-time position** based on performance and business needs. ### Team Introduction The AI Compute team sits within Tencent’s Overseas IT (OIT) organization and supports the full lifecycle of AI/GPU infrastructure and related solutions across different regions. The team works across several key areas: - **Requirement & resource planning:** Understand business requirements, identify required infrastructure and resources, and coordinate sourcing. - **Solution delivery:** Work with engineering and vendor teams to ensure requirements are translated into workable technical solutions. - **Project execution:** Support projects from initiation through deployment, testing, and acceptance. - **Issue coordination:** Help coordinate stakeholders when technical or operational issues arise. - **Platform & tooling:** Support the development and use of platforms, tools, and processes that improve AI infrastructure delivery and operations. The Singapore team focuses primarily on **delivery and coordination**, while working closely with teams and resources across China and other regions, including the US and Europe. ## Key Responsibilities - Work closely with internal business teams to understand **AI, infrastructure, and technical requirements**. - Support the team in coordinating engineering, vendor, and business stakeholders to ensure requirements are delivered effectively. - Assist with the delivery of **AI/GPU infrastructure, cloud, and compute-related solutions**. - Participate in projects from initial requirements gathering through implementation, testing, and acceptance. - Help investigate and coordinate solutions for technical or operational issues. - Develop an understanding of AI models, AI agents, and practical applications of AI in business and infrastructure environments. - Support technical documentation, project tracking, and knowledge sharing. - Assist with evaluating technical solutions and understanding their suitability for different use cases. - Communicate project status, requirements, issues, and solutions clearly to both technical and non-technical stakeholders. - Participate in team meetings and knowledge-sharing sessions across regional teams. ## Who We Look For ### Skills & Experience - Currently pursuing or recently completed a **Bachelor’s or Master’s degree** in Computer Science, Computer Engineering, Information Systems, Data Science, or a related technical field. - Strong **communication and stakeholder-management skills** with the ability to work effectively with business teams, engineers, and external vendors. - Comfortable working in a fast-paced, cross-functional and international environment. - Strong interest in **AI, machine learning, LLMs, and AI agents**. - Basic understanding of how AI models work, with the ability to discuss **different AI models, their capabilities, limitations, and potential applications**. - Strong problem-solving and analytical skills. - Basic understanding of **cloud computing, networking, Linux, or infrastructure concepts**. - Familiarity with scripting or programming languages such as **Python or Bash** is a plus. - Self-motivated, proactive, and willing to learn unfamiliar technologies quickly. - Able to work independently while also collaborating closely with a larger team. ### Preferred Qualifications - Coursework, projects, internships, or hands-on experience related to **AI/ML, LLMs, AI agents, cloud computing, distributed systems, or infrastructure**. - Experience building or experimenting with **AI applications, LLM-based tools, or AI agents**. - Familiarity with cloud platforms or AI infrastructure. - Basic knowledge of GPU computing or HPC environments. - Experience working on technical projects involving multiple stakeholders. - Interest in **AI infrastructure and the practical deployment of AI solutions**. - Candidates with strong potential for **full-time conversion** are particularly encouraged to apply. ## What You’ll Gain - Hands-on exposure to **AI infrastructure and GPU computing**. - Experience working with large-scale technology and infrastructure projects. - Exposure to **AI models, LLMs, and AI agents** and how they can be applied to real-world use cases. - Experience working directly with business, engineering, and vendor teams. - Opportunity to collaborate with **regional and global teams**. - Exposure to the full lifecycle of technical project delivery, from requirements gathering to deployment and acceptance. - Potential opportunities to participate in **group-level projects and activities**. - Potential **full-time conversion opportunity** upon successful completion of the internship. ## Applying to this role This AI Compute Intern role at Tencent runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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