Description
This role involves designing, prototyping, and delivering agentic AI solutions within the Advanced Data Science team. The individual will utilize large language models and emerging agentic AI methods to enhance scientific and operational workflows in pharmaceutical R&D. Responsibilities include translating use-case requirements into functional AI applications, developing agents capable of reasoning, task execution, and collaboration via human-in-the-loop workflows. The role also entails experimenting with and optimizing agent design, reasoning, planning, context engineering, retrieval-augmented generation, memory, tool use, and workflow orchestration. Contributions span the entire use-case delivery lifecycle, focusing on rapid prototyping, user demonstration, validation, and production readiness. Modular component development and robust error handling are essential, along with integrating agentic workflows with enterprise platforms.
