Wealth Management-New York-Vice President-GenAI Developer New York · · Vice President

Goldman Sachs Bank AG; New York (NY); On-site; USD 90,000 - 160,000; Full time

Job summary

An established industry player is looking for a talented GenAI Developer to join their innovative Wealth Management team. In this pivotal role, you will harness the power of generative AI to develop and implement cutting-edge AI solutions that drive success across various domains. Collaborating with cross-functional teams, you will conduct research and experiments to enhance AI capabilities, ensuring that the organization remains at the forefront of technology. This position offers a unique opportunity to contribute to transformative projects and make a significant impact in the financial sector. If you are passionate about AI and eager to push boundaries, this role is perfect for you.

Qualifications

• Strong background in applied generative AI and problem-solving skills.
• Master’s or Ph.D. in Computer Science or related field is required.

Responsibilities

• Develop and implement AI solutions for Wealth Management.
• Conduct research to enhance AI capabilities and stay updated with advancements.

Skills

Generative AI

Problem-Solving

Data Analysis

Communication

Python

Java

Machine Learning

NLP

Education

Master’s in Computer Science

Ph.D. in Data Science

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Azure

Job description

Wealth Management-New York-Vice President-GenAI Developer location_on New York, New York, United States

Job Description:

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. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division.

Key Responsibilities:

• 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 TensorFlow, PyTorch, or similar frameworks.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with natural language processing (NLP) and computer vision technologies.
• Previous experience in a similar role or industry.
• Master’s or Ph.D. in Computer Science, Data Science, or a related field.