VP, AI for Private Equity Investment Systems

Growth Equity Interview Guide; Singapore; On-site; SGD 230,000 - 380,000; Full time

Benefits offered by this job

Diverse team

Flexible schedule

Innovative projects

Job summary

GIC in Singapore is seeking a VP AI Engineer to build and operationalize AI-powered investment systems and scalable digital platforms. You will collaborate with product managers and AI scientists to define technical specifications, while delivering robust front-end interfaces and reliable back-end services.

You will own data processing optimization for AI models, deploy applications, write tests, and contribute to technical docs.

Qualifications

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
• 10+ years of experience in full-stack development.
• Proficiency in modern front-end frameworks like React or Vue.
• Experience with Python-based back-end frameworks such as FastAPI, Django, or Flask.
• Solid understanding of web architecture and APIs.
• Familiarity with relational databases like PostgreSQL.
• Experience deploying applications in cloud environments like AWS, GCP, or Azure.
• Strong analytical and problem-solving skills.

Responsibilities

• Build and operationalize AI-powered investment systems.
• Collaborate with product managers and AI scientists to define technical specifications.
• Develop scalable front-end interfaces and back-end services.
• Optimize data processing workflows for AI models.
• Deploy applications and ensure stable operation.
• Write tests to ensure code reliability and performance.
• Contribute to technical documentation and team collaboration.

Skills

Full-stack development

Analytical skills

Team collaboration

Education

Bachelor's degree or higher in Computer Science or related field

Tools

React

Vue

FastAPI

Django

Flask

PostgreSQL

AWS

GCP

Azure

Job description

GIC in Singapore is seeking a VP AI Engineer to build and operationalize AI-powered investment systems and scalable digital platforms. You will collaborate with product managers and AI scientists to define technical specifications, while delivering robust front-end interfaces and reliable back-end services.

You will own data processing optimization for AI models, deploy applications, write tests, and contribute to technical docs.