Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will work on one of the firm’s priorities for 2025, leveraging AI solutions to accelerate and transform business technology and improve productivity.
As a member of the CF&O AI team, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This role involves collaborating with key stakeholders to deploy impactful AI applications that significantly enhance operational efficiency and productivity across divisions.
Key Responsibilities:
* Design, develop, and implement advanced AI and GenAI solutions for various domains.
* Collaborate with stakeholders to identify and prioritize AI applications for operational improvements.
* Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG) and AI agents, to develop robust models.
* Partner with business leaders to understand their needs and seamlessly integrate AI solutions into workflows.
* Work with Goldman Sachs Engineering teams to ensure successful deployment and scalability of AI applications.
* Monitor and evaluate AI model performance, making adjustments to optimize effectiveness.
* Stay updated on AI and GenAI advancements and incorporate innovations into AI strategies.
Qualifications, Experience, and Attributes:
* Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, or Engineering.
* Proven experience in designing, developing, and implementing AI and GenAI solutions with practical impact.
* Expertise in GenAI techniques, including RAG, AI agents, and other methodologies.
* Strong full-stack development experience with TypeScript, React, FastAPI/Flask, and knowledge of OfficeJS API is preferred.
* Extensive knowledge of AI ecosystems, including frameworks like Langchain, Llamaindex, Pydantic, Vercel SDK, and DSPY.
* Strong analytical, problem-solving, collaboration, and communication skills.
* Proactive, innovative, and passionate about AI advancements.
What We Do
At Goldman Sachs, our Engineers build scalable software, architect infrastructure, guard against cyber threats, and leverage machine learning to turn data into action. Join us to solve challenging engineering problems, create new businesses, and transform finance.
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