Applied AI Engineer, Global Banking & Markets

## About the Role Goldman Sachs is seeking an Applied AI Engineer to join the AI Quant team within Equities. You will design, implement, and deploy scalable AI models and agentic workflows for revenue generation, capital optimization, and operational efficiency across global markets. ## Responsibilities - Design and deploy scalable AI models for equity trading and analytics - Build agentic workflows for automated market analysis - Develop production-ready ML systems meeting enterprise standards - Collaborate with traders and quant researchers on AI-driven strategies - Lead experimentation to enhance model performance and reliability ## Requirements - 1-3 years of AI/ML industry experience - Advanced degree in CS, ML, Quantitative Finance, Mathematics, or Physics - Proficiency in Python with strong software engineering practices - Knowledge of ML algorithms and data science toolkits - Experience building production ML systems preferred - Interest in financial markets and quantitative methods