Goldman Sachs Expands AI and Machine Learning Initiatives, Seeking Generative AI Scientists
Goldman Sachs is significantly investing in artificial intelligence (AI) and machine learning (ML) capabilities, particularly in the realm of Generative AI, to enhance its operations and empower its business teams. The firm is actively recruiting Generative AI Scientists to join its Production Runtime Experience (PRX) team within Enterprise Technology Operations (ETO). This expansion reflects a broader industry trend of financial institutions leveraging AI to improve efficiency, reduce risk, and drive innovation.
Engineering at Goldman Sachs: A Core Business Function
Engineering is central to Goldman Sachs’ business, encompassing the Technology Division and global strategist groups. Engineers at the firm are focused on building innovative solutions to complex challenges in financial markets. Their work includes developing massively scalable software and systems, architecting low-latency infrastructure, proactively defending against cyber threats, and applying machine learning to transform data into actionable insights Goldman Sachs Careers.
Focus on Generative AI and Document Digitization
The PRX team is specifically applying advanced ML and Generative AI to reduce the risk and cost associated with operating the firm’s large-scale compute infrastructure and extensive application estate AI / ML Engineering Dallas Associate. A key focus area is building an AI-enabled platform for document digitization. This involves conceptualizing, experimenting with, and assessing AI-based software systems, as well as developing, testing, and maintaining production-ready code.
Key Responsibilities of a Generative AI Scientist
Generative AI Scientists at Goldman Sachs will be responsible for:
- Collaborating 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.
- Providing technical leadership on cross-team projects.
- Deploying services in cloud-native environments.
- Boosting developer productivity with Generative AI tools, such as Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs.
Required Qualifications
Candidates for the Generative AI Scientist role should possess:
- A Master’s or Ph.D. Degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or a related field.
- A minimum of three years of relevant industry experience.
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
- Proficiency in contemporary programming languages such as Python, C++, or Java.
Goldman Sachs’ Commitment to Culture and Diversity
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm. The firm emphasizes a culture of partnership, client service, integrity, and excellence Goldman Sachs Careers. Goldman Sachs is committed to fostering diversity and inclusion, providing opportunities for professional and personal growth through training, development programs, and wellness initiatives.
Open Engineering Roles
Goldman Sachs offers a variety of engineering roles, including Systems Engineering, Software Engineering, Quantitative Strategists, and Cyber Security Goldman Sachs Careers. Currently, there is an opening for an AI/ML Engineer in Dallas, Texas AI / ML Engineering Dallas Associate.