Global Banking

Senior AI Engineer - Global Banking & Markets - NYC 

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 engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Who We Look For:

Goldman Sachs has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.

Goldman Sachs is seeking a Senior AI Engineer to join our Global Banking & Markets division. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm. 

In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As a senior expert on this team, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence

Your responsibilities will include:

• Collaborating effectively with colleagues to advance production machine-learning systems and applications.
• Conceptualizing, experimenting with, and assessing AI-based software systems.
• Developing, testing, and maintaining high-quality, production-ready code.
• Demonstrating technical leadership by taking charge of cross-team projects.
• Developing Retrieval-Augmented Generation (RAG) techniques to enhance AI systems.
• Contributing to boost developer productivity with Generative AI.

Required Qualifications:

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• A minimum of 5 years of experience in the industry that demonstrates your expertise.
• Proficiency in contemporary programming languages like Python, C++, or Java.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

Salary Range

The expected base salary for this New York, New York, United States-based position is $150000-$ In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.