Job Title

Location Address 44 King Street W 23rd Floor Work arrangement Hybrid - In office 2-3 days per week Possibility of extension Depending on performance Conversion to FTE Depending on performance Job Description Documentation and Reporting: Maintain comprehensive documentation of data sources, LLM/RAG model development, prompt engineering strategies, and implementation processes. Provide regular reports and updates on AI solution performance and project progress to the team and management. Collaboration and Communication: Work closely with cross-functional teams to seamlessly integrate cuttingedge AI solutions into core banking operations. Effectively communicate complex technical findings, project progress, and challenges to both technical and nontechnical stakeholders. Ensure that all AI solutions comply with banking regulations and ethical AI standards, particularly regarding customer data transparency and responsible use of generative models. Conduct rigorous testing, validation, and quality assurance for LLMpowered and Agentic AI solutions to ensure accuracy, fairness, and a seamless customer experience. Proactively identify and address potential risks and challenges that arise during the development and deployment of advanced AI systems. Candidate Requirements/Must Have Skills: 5- 8 years of experience with Python for data analysis, modeling, and scripting. 5-8 years of experience with SQL for data manipulation and querying. 2-5 years of experience in data preprocessing techniques, including data cleaning, transformation, and vectorization. 2-5 years of experience in data mining, data profiling, modeling, cleansing, and enriching as well as extracting, transforming, loading (ETL) solutions. 2-5 of experience in data privacy and security standards, especially when handling sensitive customer data within generative AI applications. Nice-To-Have Skills: Demonstrable experience or a strong theoretical understanding of Large Language Models (LLMs), including finetuning, prompt engineering, and an awareness of their current capabilities and limitations. Familiarity with or understanding of Retrieval Augmented Generation (RAG) architectures and their implementation for grounded, factual AI responses Familiarity with Agentic AI frameworks (e.g., LangChain agents, AutoGen) or designing multistep AI reasoning processes Familiarity with Google Cloud Platform (GCP) or other cloud computing environments. Soft Skills Required: Strong communication and presentation skills for effective interaction with clients, vendors, and management. Ability to prioritize tasks, plan, and manage projects effectively in a fastpaced environment. Collaboration in diverse teams and settings Creative, collaborative mindset with keen attention to detail #J-18808-Ljbffr