Goldman Sachs is seeking an experienced AI Engineer to join the Liquidity Risk technology team in Dallas, Texas. You will design, build, and deploy AI-driven solutions for enhancing liquidity risk monitoring and decision support. The role requires strong experience in developing AI systems and working with diverse teams.
Key responsibilities include designing AI models, collaborating with liquidity risk managers, and optimizing performance in cloud environments. Candidates should have extensive hands-on experience integrating LLM models and proficiency in Python and AWS.
#J-18808-LjbffrVP of AI Engineering - Liquidity Risk AI Systems in dallas at Unknown Company
This position is listed as full time and onsite.