Generative AI Engineer - Assistant Vice President

Generative Ai Engineer - Assistant Vice President

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Smart Assistant is a suite of GenAI applications for document & data inquiry, leveraging cutting-edge AI to revolutionize how Finance interact with their data. We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to join our team in Tampa, Florida, and play a key role in the continued development of our Finance Smart Assistant.

Responsibilities

Design, develop, and implement cutting-edge Generative AI solutions for the Finance Smart Assistant, building upon existing foundations. Lead the integration of Retrieval Augmented Generation (RAG) techniques to enhance the accuracy and context-awareness of our AI systems. Develop and refine Large Language Model (LLM) based solutions, leveraging expertise in prompt engineering and fine-tuning. Utilize table transformers and other advanced Python packages for extracting and processing complex financial data. Work end-to-end on GenAI solutions, from data preprocessing and model development to deployment and monitoring. Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing workflows. Stay up-to-date with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts. Communicate technical concepts and findings clearly and effectively to both technical and non-technical audiences.

Qualifications

Bachelor's in Computer Sciences or related field. Master's degree or PhD in Data Science, Computer Science, or a related field is preferred. Proven experience in developing and deploying Generative AI solutions in real-world settings. Deep understanding of: Retrieval Augmented Generation (RAG), Large Language Models (LLMs) and their applications, Transformer models (e.g., BERT, GPT), Agentic AI understanding, Prompt engineering and fine-tuning techniques, Vector databases and similarity search, LangChain, LlamaIndex or similar frameworks for building GenAI applications, Model evaluation metrics for GenAI, MLOps principles and practices for deploying and managing AI models. Strong programming skills in Python, including experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Excellent communication, collaboration, and problem-solving skills. Hands-on experience with end-to-end AI project development and deployment. Formal coursework or certifications in Data Science. Experience in the financial services industry. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). Contributions to open-source AI projects.

What To Expect

Opportunity to work on cutting-edge AI projects. Collaborative and innovative work environment.