GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

The Artificial Intelligence Alpha Group (AAG) is a newly formed, AI-native investment team building and applying advanced AI technologies to deliver superior investment performance. We are a collaborative and cross-functional team of investors, data scientists, and technologists, using AI to reimagine fundamental investing.

What impact can you make in this role?

• Bachelor’s degree of higher in Computer Science, Software Engineering, or related field.
• 10+ years of experience designing, building and operating large-scale backend and data platforms, with hands-on expertise in Python-based backend frameworks (e.g., FastAPI, Django, Flask), and deep experience supporting AI- or analytics-intensive workloads.
• Strong proficiency in modern databases and frameworks (e.g., PostgreSQL, Spark, Kafka).
• Experience designing or working with vector databases or graph databases is preferred.
• Deep understanding of data modeling, feature engineering, and ELT pipeline design principles.
• Familiarity with data quality, metadata management, and governance frameworks.
• Experience with cloud and large-scale data platforms (e.g. Databricks, AWS or equivalents) is a plus.
• Working knowledge of modern machine learning workflows (feature engineering, model training, evaluation and iteration) and practical familiarity with LLMs, embeddings and prompt-based systems.
• Demonstrated ability to ship production-grade solutions and leverage AI-native development tools to accelerate coding, testing and documentation.
• Solid understanding of web architecture, APIs, and software design principles.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across technical and product teams.
• Deep curiosity and passion for exploring emerging AI technologies and applying them to real-world product development.