Goldman Sachs Bank AG
Generative AI Engineer, Vice President (Dallas, TX)
Goldman Sachs Bank AG, Dallas, Texas, United States, 75215
Opportunity Overview
Corporate Title:
Vice President Location:
Dallas Job Function:
Software Engineering Division:
Engineering Division What We Do:
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our teams that build massively scalable software, architect low latency infrastructure, guard against cyber threats, and leverage machine learning alongside financial engineering to turn data into action. Create new businesses, transform finance, and explore opportunities at the speed of markets. Engineering, comprising our Technology Division and global strategists, is central to our business. Our dynamic environment demands innovative thinking and immediate solutions. Want to push the limits of digital possibilities? Start here. Who We Look For:
Goldman Sachs leverages unique data, including proprietary content, analytics, and research, to harness the power of Generative AI. We seek a Generative AI Scientist to join our GenAI Solutions team, playing a pivotal role in adopting cutting-edge AI technologies and interacting directly with our business units. You will contribute to domains such as boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval. You will address challenges in generative AI within the financial domain and help develop Goldman’s AI Assistant to empower our business. Your Responsibilities:
Collaborate to advance production machine-learning systems and applications. Conceptualize, experiment with, and assess AI-based software systems. Develop, test, and maintain high-quality, production-ready code. Demonstrate technical leadership by leading cross-team projects. Develop RAG techniques to enhance AI systems. Contribute to increasing developer productivity with Generative AI. Required Qualifications:
Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or related fields. Minimum of 5 years of relevant industry experience. Extensive experience in software development for quantitative investment workflows. Proficiency in programming languages like Python, C++, or Java. About Goldman Sachs:
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. We are committed to diversity, inclusion, and providing growth opportunities through training, benefits, wellness, and personal finance programs. We support candidates with disabilities during recruitment. Learn more:
Disability Statement
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Vice President Location:
Dallas Job Function:
Software Engineering Division:
Engineering Division What We Do:
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our teams that build massively scalable software, architect low latency infrastructure, guard against cyber threats, and leverage machine learning alongside financial engineering to turn data into action. Create new businesses, transform finance, and explore opportunities at the speed of markets. Engineering, comprising our Technology Division and global strategists, is central to our business. Our dynamic environment demands innovative thinking and immediate solutions. Want to push the limits of digital possibilities? Start here. Who We Look For:
Goldman Sachs leverages unique data, including proprietary content, analytics, and research, to harness the power of Generative AI. We seek a Generative AI Scientist to join our GenAI Solutions team, playing a pivotal role in adopting cutting-edge AI technologies and interacting directly with our business units. You will contribute to domains such as boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval. You will address challenges in generative AI within the financial domain and help develop Goldman’s AI Assistant to empower our business. Your Responsibilities:
Collaborate to advance production machine-learning systems and applications. Conceptualize, experiment with, and assess AI-based software systems. Develop, test, and maintain high-quality, production-ready code. Demonstrate technical leadership by leading cross-team projects. Develop RAG techniques to enhance AI systems. Contribute to increasing developer productivity with Generative AI. Required Qualifications:
Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or related fields. Minimum of 5 years of relevant industry experience. Extensive experience in software development for quantitative investment workflows. Proficiency in programming languages like Python, C++, or Java. About Goldman Sachs:
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. We are committed to diversity, inclusion, and providing growth opportunities through training, benefits, wellness, and personal finance programs. We support candidates with disabilities during recruitment. Learn more:
Disability Statement
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