VP of AI Engineering - Liquidity Risk ML Systems

Goldman Sachs Group, Inc.; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Ongoing learning and career progression

Collaborative work environment

High-impact role at global scale

Job summary

Goldman Sachs Group, Inc. is looking for a Vice President of Software Engineering in Dallas, TX. The ideal candidate will have extensive experience as an AI Engineer, focusing on developing AI-driven solutions for liquidity risk management.

This position involves working closely with liquidity risk managers to design and optimize AI systems, requiring strong skills in machine learning, Python, and cloud computing. The role offers significant career development opportunities in a high-impact environment.

Qualifications

• 5+ years of experience as an AI Engineer.
• Hands-on experience integrating LLM models and developing monitoring tools.
• Strong proficiency in Python and machine learning fundamentals.

Responsibilities

• Design and deploy AI-driven solutions enhancing liquidity risk.
• Build end-to-end AI pipelines for data processing and model deployment.
• Optimize performance and scalability in distributed environments.

Skills

AI Engineering

Machine Learning

Python

AWS

Distributed Computing

Tools

PyTorch

SQL

Airflow

Job description

Goldman Sachs Group, Inc. is looking for a Vice President of Software Engineering in Dallas, TX. The ideal candidate will have extensive experience as an AI Engineer, focusing on developing AI-driven solutions for liquidity risk management.

This position involves working closely with liquidity risk managers to design and optimize AI systems, requiring strong skills in machine learning, Python, and cloud computing. The role offers significant career development opportunities in a high-impact environment.