Lead Knowledge Graph Engineer for Enterprise AI

Goldman Sachs; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A global investment firm in Singapore seeks a highly skilled Lead Engineer for its Knowledge Engineering team. This role focuses on designing and maintaining data retrieval systems to support generative AI solutions. Ideal candidates have extensive experience in data engineering, proficiency in Python or Java, and knowledge of cloud platforms. Come join a diverse technical team committed to innovation and high-quality outcomes.

Benefits

Diversity and inclusion initiatives

Training and development opportunities

Benefits for personal wellness

Qualifications

• Minimum 5-10 years of hands-on experience in data engineering focused on scalable systems.
• Proficiency in Python or Java programming.
• In-depth knowledge of network stacks.

Responsibilities

• Design and maintain robust data retrieval systems.
• Lead modeling of knowledge graph and data integration.
• Collaborate with product managers and AI engineers.

Skills

Data engineering

Programming (Python/Java)

Cloud platforms (AWS, GCP, Azure)

Knowledge of LLMs

Understanding of data structures

Education

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

Tools

Data governance tools

SDLC tools

Job description

A global investment firm in Singapore seeks a highly skilled Lead Engineer for its Knowledge Engineering team. This role focuses on designing and maintaining data retrieval systems to support generative AI solutions. Ideal candidates have extensive experience in data engineering, proficiency in Python or Java, and knowledge of cloud platforms. Come join a diverse technical team committed to innovation and high-quality outcomes.