Asset & Wealth Management - AI Engineer - Associate - Salt Lake City

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 AI 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.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Who We Look For

Goldman Sachs is seeking an AI Engineer to join our AI Strats team. As an AI Engineer, you will leverage your expertise in quantitative analytics, statistics, artificial intelligence, and software development to architect and implement AI-driven technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with finance. As an AI Engineer, you will tackle the unique challenges associated with embedding intelligence in the asset management. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!

How You Will Fulfill Your Potential

• Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
• Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
• Collaborate proactively with stakeholders across the Asset Management business to accelerate the delivery of AI driven solutions that drive tangible commercial outcomes.
• Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications

• A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• Proficiency in Python.
• Excellent understanding of the AI ecosystem, experience with common open-source software.
• Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

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 GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.