Goldman Sachs is expanding its engineering capabilities with a focus on artificial intelligence, specifically seeking a Generative AI Scientist to join its GenAI and DocAI Engineering team. The firm aims to leverage its proprietary data—including content, analytics, and research—to enhance its existing strengths and capitalize on the potential of Generative AI.
Engineering at the Core
Engineering, encompassing the Technology Division and global strategists groups, is described as being at the “critical center” of Goldman Sachs’ business. The firm emphasizes the need for innovative strategic thinking and immediate solutions within its dynamic environment.
Responsibilities and Qualifications
The Generative AI Scientist will contribute to projects like building an AI-enabled platform for document digitization and boosting developer productivity using Retrieval-Augmented Generation (RAG) pipelines. They will also play a role in developing Goldman’s AI Assistant. Responsibilities include collaborating with colleagues, conceptualizing AI systems, and maintaining production-ready code.
Candidates must possess a Master’s or Ph.D. Degree in a relevant field—such as Computer Science, Machine Learning, or Quantitative Finance—and a minimum of three years of relevant industry experience. Proficiency in programming languages like Python, C++, or Java is also required, along with experience in software development for quantitative investment workflows.
Goldman Sachs states its commitment to diversity and inclusion, offering opportunities for professional and personal growth, as well as benefits and wellness programs.
Frequently Asked Questions
What does the Generative AI Scientist role entail?
The role involves contributing to Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation pipelines and knowledge graphs, and helping to address challenges in generative AI systems within the financial domain.
What qualifications are required for this position?
A Master’s or Ph.D. Degree in a relevant field, a minimum of three years of relevant industry experience, and proficiency in programming languages like Python, C++, or Java are required.
What is Goldman Sachs’ approach to engineering?
Engineering, comprised of the Technology Division and global strategists groups, is described as being at the “critical center” of the firm’s business, requiring innovative strategic thinking and immediate solutions.
As Goldman Sachs continues to invest in AI and machine learning, it remains to be seen how these technologies will reshape its operations and impact the financial landscape.
