
Asset & Wealth Management - AM AI Strats - Associate - Bengaluru
at Goldman Sachs
Posted 16 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Goldman Sachs is seeking an AI Engineer to join the AI Strats team within Asset & Wealth Management. You will design, implement, and deploy scalable AI models and agentic workflows to drive commercial outcomes, lead rigorous experimentation, and collaborate with Asset Management stakeholders to deliver production-ready AI solutions. The role requires a Master’s or PhD in Computer Science, Machine Learning, Quantitative Finance, Mathematics, or related fields, strong Python skills, and familiarity with the AI ecosystem and open-source tools.
What We Do
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
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.
Goldman Sachs Engineering Culture
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., 2026. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity









