Wealth Management-New York-Associate-GenAI Developer

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 • 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. Apply Job!