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Applying Generative AI and Natural Language Processing (NLP) to solve complex business challenges across the bank.

Requirements

• Hands-on experience applying Generative AI and LLMs in production or pilot environments.
• Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Langgraph, Autogen, Strands etc.).
• Experience working with unstructured data and integrating AI solutions into business workflows.
• Experience with prompt engineering and LLM orchestration.
• Familiarity with cloud platforms and MLOps tools.
• Experience interacting with model validation teams and regulators.

Responsibilities

• Lead the development and deployment of Gen AI-powered solutions using LLMs for complex workflows and processes.
• Oversee data sourcing, preparation, and transformation efforts to support model input and evaluation.
• Ensure responsible AI practices by collaborating with risk, compliance, and model validation teams.
• Drive prompt engineering, model evaluation, and iterative refinement of LLM-based solutions.
• Stay current with advancements in Generative AI and NLP, and assess their applicability to banking use cases.
• Contribute to the development of internal standards and best practices for Gen AI adoption.

Other

• Manage and mentor a team of data scientists, providing technical guidance, career development support, and performance feedback.
• Partner with business and technical stakeholders to identify high-value opportunities for Generative AI and define solution strategies.
• Proven ability to lead technical teams and manage multiple projects simultaneously.
• Strong communication skills, including technical writing and stakeholder engagement.
• Background in Agile methodologies and project management tools.