What are the responsibilities and job description for the Wealth Management-Dallas-Vice President-Software Engineering position at The Goldman Sachs Group?
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.
Required Competencies:
- 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.
Preferred Competencies:
- 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.
The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.
