Asset &Wealth Management-Wealth AI Engineering - Associate-Dallas

Who We Are

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.

Across Asset and Wealth Management (AWM), Goldman Sachs helps empower clients and customers around the world to reach their financial goals. The Private Wealth Management (PWM) business within AWM provides comprehensive investment management services and advice across a full range of asset classes for very high net‑worth individuals. PWM leverages a global technology platform, an integrated suite of tools and applications, to service clients and deliver first‑class client service.

The successful candidate will join the global PWM Private Bank team, developing digital solutions that help clients connect and engage with Goldman Sachs. The role requires working closely with business partners to streamline workflows and drive growth.

We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI and will develop and implement AI solutions across several domains in Wealth Management.

• Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Conduct research and experiments to improve AI capabilities within the division.

• Retrieval‑Augmented Generation (RAG):
  Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.
• Vector Stores:
  Knowledge of vector stores for efficient data storage and retrieval.
• Prompt Engineering:
  Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.
• Large Language Model APIs (LLM APIs):
  Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).
• Programming
  
  Languages:
  
  Proficiency in Python, Java, or other relevant programming languages.
• Data Analysis:
  Strong analytical skills and experience with data analysis tools.
• Problem‑Solving:
  Excellent problem‑solving abilities and attention to detail.
• Communication:
  Strong verbal and written communication skills.

• Graph RAG:
  Proficiency in using Graph RAG for complex data relationships and insights.
• Knowledge Graphs:
  Expertise in building and managing knowledge graphs to represent and query complex data structures.
• Machine Learning Frameworks:
  Experience with Tensor Flow, PyTorch, or similar frameworks.
• Cloud Platforms:
  Experience with AWS, Google Cloud, or Azure.
• NLP & Computer Vision:
  Familiarity with natural language processing and computer vision technologies.
• Prior experience in a similar role or industry.
• Master’s or Ph.D. in Computer Science, Data Science, or a related field.

Founded in 1869, we are a leading global investment banking, securities and investment management firm headquartered in New York with offices around the world.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran’s status, disability or any other characteristic protected by applicable law.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: