2027 Off-Cycle Internship - Artificial Intelligence Specialist - SG

AI Specialist Intern

Role
UBS is putting artificial intelligence at the core of how we work. The Chief AI Office (CAIO) and Group Technology Office (GTO) are where this transformation is engineered. We are looking for ambitious students to join our 2027 Off-Cycle Internship Program as an AI Specialist Intern.

As an AI Specialist Intern, you will help build, test, and ship AI-enabled applications that improve how thousands of colleagues across UBS work every day. Working alongside experienced engineers and product managers, you will:

• Design and build AI agents that automate, augment, or reinvent how work gets done across UBS
• Apply core generative AI techniques—including prompt engineering, retrieval-augmented generation (RAG), embeddings, MCP, LangGraph, and emerging agentic patterns—to deliver real production use cases
• Map and redesign business workflows around AI agents, pinpointing where automation and reasoning remove friction and improve outcomes
• Build across the agent spectrum, using no-code and low-code platforms for fast iteration and pro-code frameworks where deeper customization, integrations, or extensions are needed
• Iterate on agent quality by improving accuracy, reliability, and usefulness through systematic testing, evaluation, and refinement
• Collaborate with product, business, and platform teams to turn high-impact use cases into deployed agents that real users rely on

Your Team

You will join the Chief AI Office (CAIO) or Group Technology Office (GTO), teams driving UBS’s firm-wide AI transformation. You will help design and build standardized AI tools, platforms, and reusable capabilities used across the bank—from generative AI assistants to agentic workflows. You will be based in Singapore and connected to colleagues around the world.

Your Expertise

We are looking for a candidate who:

• Is ready to defer their studies to join the program and will then graduate between December 2027 and June 2028 with less than two years of work experience
• Is pursuing a degree in computer science, software or computer engineering, data science, artificial intelligence, or a related technical field; exposure to financial services is a plus, not a requirement
• Thinks agent-first—naturally framing problems as “what should an agent do, decide, and act on?” rather than “what feature should I build?”
• Understands the building blocks of generative AI, including LLMs, prompt engineering, RAG, embeddings, MCP, LangGraph, and emerging agentic AI patterns, and is eager to apply them to real production use cases
• Thinks in terms of process redesign, able to map how a business workflow runs today and reimagine it around AI agents, pinpointing where automation and reasoning remove friction and improve outcomes
• Has strong programming fundamentals (Python preferred) and is comfortable working with APIs, modern AI frameworks, and developer tooling, using these to extend pro-code agents
• Pairs technical curiosity with a responsible AI mindset, building in security, data quality, grounding, and human oversight from the start
• Is a creative, strategic thinker who communicates clearly, collaborates naturally, and thrives in a fast-moving environment with high standards and real deadlines
• Can evidence how experimental and responsible use of AI can improve outcomes and efficiency

About UBS

UBS is a leading, truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. Collaboration is at the heart of everything we do.

Want to find out more? ubs.com/careers