The role involves designing and delivering AI-powered solutions for enterprise clients within an innovation-led unit. The associate will translate client use cases into functional prototypes using synthetic data and modern generative AI tools. Responsibilities include building proof-of-concept applications and developing agentic AI workflows. The position requires integrating large language models via APIs and implementing retrieval-augmented generation pipelines. Additionally, the associate will present outputs through demo interfaces and maintain a repository of reusable components.

Candidates must be pursuing or have recently obtained a degree in Computer Science, AI, Data Science, or a related field. Applicants are required to possess strong Python programming skills and hands-on experience with LLMs, prompt engineering, and agentic AI frameworks. Proficiency in RAG architectures and vector databases is necessary for the role. Furthermore, candidates must demonstrate strong analytical, communication, and teamwork capabilities, alongside a portfolio of applied AI project work.