About The Position

Goldman Sachs is seeking a Generative AI Engineer to join our dynamic GenAI and DocAI organization. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business. In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval. As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman’s AI Assistant to empower our business.

Requirements

  • A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
  • A minimum of 5 years of experience in the industry that demonstrates your expertise.
  • Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
  • Proficiency in contemporary programming languages like Python, C++, or Java.

Responsibilities

  • Collaborating effectively with colleagues to build an AI enabled platform for Document Digitization.
  • Conceptualizing, experimenting with, and assessing AI-based software systems.
  • Developing, testing, and maintaining high-quality, production-ready code.
  • Demonstrating technical leadership by taking charge of cross-team projects.
  • Developing and deploying services in cloud native environment.
  • Contributing to boost developer productivity with Generative AI.

Benefits

  • training and development opportunities
  • firmwide networks
  • benefits
  • wellness
  • personal finance offerings
  • mindfulness programs
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