The AI Solutions Engineer role at Goldman Sachs is focused on designing and delivering production AI systems within the WM Data Engineering team. This team builds a cloud-native data platform that supports Wealth Management globally, utilizing advanced technologies such as large language models and AI-powered tooling. The engineer will work on integrating AI applications with real-world data infrastructure, ensuring responsible AI practices are implemented. The position requires collaboration with senior engineers and business stakeholders to develop innovative solutions.

• 3+ years of software engineering experience, including hands-on work with machine learning models or AI application development.
• Proficiency in Java, Python, and SQL, with hands-on experience with LLM APIs or agentic frameworks.
• Familiarity with data engineering concepts such as ETL/ELT pipelines and cloud data services.
• Awareness of responsible AI concerns including prompt injection and data leakage.

• Build and maintain AI-powered data engineering tools integrated with the WM data platform.
• Develop evaluation frameworks to measure and improve AI output quality across data engineering workloads.
• Write well-tested, production-quality code with comprehensive unit and integration tests for AI components.
• Implement responsible AI practices in every system, especially when operating on sensitive financial data.
• Collaborate with senior engineers, data architects, and business stakeholders to scope requirements and prototype solutions.

• 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.