Asset & Wealth Management - London - Associate- Gen AI Developer

Goldman Sachs, Inc.; London; On-site; GBP 60,000 - 120,000; Full time

Job summary

An established industry player is on the lookout for a talented GenAI Developer to join their innovative global team. This role is pivotal in advancing generative AI capabilities within the Wealth Management division, offering the chance to work with cutting-edge technologies and collaborate across functions. The ideal candidate will have a robust background in AI, particularly in developing Retrieval-Augmented Generation models and using Large Language Model APIs. If you are passionate about driving AI innovation and making a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Strong background in applied generative AI with experience in RAG models.
• Proficiency in programming languages such as Python and Java.

Responsibilities

• Develop and implement AI solutions for Wealth Management.
• Conduct research to enhance AI capabilities within the division.

Skills

Retrieval-Augmented Generation (RAG)

Vector Stores

Prompt Engineering

Large Language Model APIs (LLM APIs)

Programming Languages (Python, Java)

Data Analysis

Problem-Solving

Communication

Education

Master's in Computer Science

Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Azure

Job description

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:

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

Required Competencies:

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

Preferred Competencies:

1. Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights.
2. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures.
3. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
4. Experience with cloud platforms such as AWS, Google Cloud, or Azure.
5. Familiarity with natural language processing (NLP) and computer vision technologies.
6. Previous experience in a similar role or industry.
7. Master's or Ph.D. in Computer Science, Data Science, or a related field.