Job Description

Who We Are

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division.

Key Responsibilities

• Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Conduct research and experiments to improve AI capabilities within the division.

Required Competencies

• Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.
• Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval.
• Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.
• Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).
• Programming Languages: Proficiency in Python, Java, or other relevant programming languages.
• Data Analysis: Strong analytical skills and experience with data analysis tools.
• Problem-Solving: Excellent problem-solving abilities and attention to detail.
• Communication: Strong verbal and written communication skills.

Preferred Competencies

• Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights.
• Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with natural language processing (NLP) and computer vision technologies.
• Previous experience in a similar role or industry.
• Master’s or Ph.D. in Computer Science, Data Science, or a related field.
• Years of experience: 6-10

Goldman Sachs Engineering Culture

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

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