Core Engineering, Knowledge Graph Software Engineer Lead, Vice President, Singapore

Goldman Sachs Group, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading global investment banking firm based in Singapore is seeking a highly skilled engineer lead to join their Knowledge Engineering team. This role involves designing and maintaining data retrieval systems for AI, leading knowledge graph initiatives, and ensuring data quality. Candidates should have over 10 years of experience in data engineering and proficiency in programming languages like Python. A diverse environment with competitive benefits fosters professional growth and collaboration.

Benefits

Competitive vacation policies

Financial wellness support

On-site fitness centers

Qualifications

• 10+ years of experience in data engineering with distributed systems.
• Leadership experience in mentoring engineering teams.
• Proficiency with modern network stacks and data structures.

Responsibilities

• Design and maintain data retrieval systems for AI.
• Lead knowledge graph modeling and evolution.
• Ensure data quality and integrate AI systems.

Skills

Data engineering

Programming in Python

Cloud platforms (AWS, GCP, Azure)

Large Language Models (LLMs)

Education

Bachelor's or Master's degree in Computer Science

Tools

Data retrieval systems

Knowledge graphs

Job description

Job Description

DEVELOPER JOURNEY STRATEGY AT GOLDMAN SACHS

The Developer Journey Strategy focuses on investing in the developer experience to minimize friction, promote standardization, and leverage artificial intelligence (AI) to enable seamless delivery. By streamlining processes, implementing consistent practices, and integrating AI-driven tools and solutions, we empower developers to efficiently build and run products and platforms. This strategy aims to enhance productivity, foster innovation, and ensure high-quality outcomes by providing developers with the advanced tools, resources, and support they need to succeed. The incorporation of AI not only automates routine tasks and optimizes workflows but also provides predictive insights and intelligent recommendations, further enhancing the development process.

SDLC ENGINEERING

Part of the Goldman Sachs' Core Engineering group's function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely.

WHAT YOU WILL BE WORKING ON

The Knowledge Engineering team builds platforms to access, understand, and leverage institutional knowledge effectively. Our mission is to transform how information is managed and retrieved across the firm, driving innovation and productivity through data and AI solutions. We are seeking a highly skilled and motivated engineer lead to join our Knowledge Engineering team. This critical role will focus on designing, building, and maintaining our internal knowledge graph, a foundational component for AI-driven capabilities. Leveraging Large Language Models (LLMs) and vendor products, you will be instrumental in creating a unified, intelligent system that democratizes access to complex organizational data, enhances decision-making, and supports the firm's strategic initiatives. As an engineer lead, you will also be responsible for providing technical leadership, mentorship, and guidance to a team of engineers, fostering their professional development and ensuring high-quality outcomes.

Responsibilities:

• Design, develop and maintain robust data retrieval systems to supply our Generative AI infrastructure with the organizational and systems knowledge they need from vast unstructured data corpuses.
• Lead the modeling and evolution of the knowledge graph, ensuring efficient, scalable, and accurate representation of complex unstructured information across the organization.
• Ensure conformance with the firm's security and AI standards.
• Integrate our generative AI systems with the knowledge graph to enhance AI-driven reasoning, semantic search, and contextual data retrieval, ensuring accuracy and reducing hallucinations.
• Work extensively with the vendor products, configuring integrations with various internal data sources and leveraging capabilities to build a unified and intelligent enterprise data retrieval.
• Collaborate closely with product managers, AI/ML engineers, and other stakeholders to understand data requirements, define KPIs, and deliver data solutions that align with business objectives.
• Ensure data quality, integrity, and security within the knowledge graph, implementing robust validation and monitoring mechanisms.
• Contribute to the continuous improvement of data engineering best practices, tools, and processes within the SDLC Engineering team.

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
• Minimum 10 years of hands‑on experience in data engineering, with a strong focus on building scalable distributed systems.
• Proficiency in programming languages such as Python or Java.
• In depth knowledge of modern network stacks, ideally with http proxies / gateways / load‑balancing.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Solid understanding of data structures, algorithms.
• Familiarity with SDLC processes and tools.
• Proven experience in leading and mentoring engineering teams, including direct people management responsibilities such as performance reviews, career development, and fostering a collaborative team environment.

Preferred Experience:

• Familiarity with Large Language Models (LLMs) and their application in enterprise search or knowledge management.
• Familiarity with LLM communication protocols (MCP, A2A etc).
• Direct experience with enterprise AI search platforms that leverage knowledge graphs.
• Proven track record in designing and implementing production‑grade knowledge graphs.
• Experience with Retrieval Augmented Generation (RAG) methodologies and prompt engineering for LLMs.
• Experience with data governance, metadata management, and data cataloging.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Job Info

• Job Identification 153364
• Job Category Vice President
• Posting Date 11/25/2025, 02:25 AM

Healthcare & Medical Services

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).

We offer on‑site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class‑leading benefits our firm has to offer..

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