The AI Solutions Engineer – Vice President role at Goldman Sachs focuses on leading the design and operationalization of production AI systems within the Wealth Management Data Engineering team. This team is responsible for building and operating a data ecosystem that enhances Wealth Management through cloud-native platforms and AI integration. The position requires a blend of technical leadership and hands-on experience with large language models and data engineering principles. The ideal candidate will mentor junior engineers while ensuring compliance with data governance standards.

• 7+ years of software engineering experience, with 3+ years building production AI/ML systems.
• Proficiency in Java, Python, and SQL.
• Strong hands-on experience with LLM APIs and agentic frameworks.
• Demonstrated experience designing agentic architectures.
• Working knowledge of cloud data platforms and ETL/ELT workflows.

• Architect and deliver AI-powered data engineering solutions integrated with the WM Lakehouse platform.
• Define and maintain AI evaluation standards to monitor system performance.
• Own the AI delivery lifecycle including CI/CD for model artifacts and prompt configurations.
• Enforce responsible AI practices in LLM pipelines that handle sensitive financial data.
• Partner with data architects to ensure AI systems comply with data governance and regulatory standards.

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.