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

Goldman Sachs • Salt Lake City, UT

10h

About The Position

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.
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!

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level