The GenAI Developer will join the global Private Wealth Management team at Goldman Sachs, focusing on developing and implementing AI solutions to enhance client engagement and streamline business workflows. This role requires a strong background in applied generative AI and collaboration with cross-functional teams to drive innovation. The successful candidate will contribute to advancing the firm's GenAI capabilities within the Wealth Management division. The position emphasizes the importance of staying updated with the latest advancements in AI and machine learning technologies.

• Strong background in applied generative AI.
• Experience in developing and implementing Retrieval-Augmented Generation (RAG) models.
• Knowledge of Vector Stores for efficient data storage and retrieval.
• Proficiency in programming languages such as Python or Java.
• Strong analytical skills and experience with data analysis tools.

• 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.
• Design and optimize prompts for AI models to improve accuracy and relevance.
• Collaborate with cross-functional teams to drive innovation.

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.