The role involves managing a cross-functional team to design and deliver AI and Generative AI platforms. The position bridges the gap between data science research and production-grade software engineering. Responsibilities include guiding technical architecture for Large Language Model platforms and fostering a culture of scientific excellence and rapid experimentation. The manager oversees the development of scalable machine learning workflows and ensures the reliability of deployed models through robust governance. Additionally, the role requires partnering with various stakeholders to align technical execution with business objectives and client needs.

Candidates must possess at least 8 years of experience in the data or software space, including a minimum of 3 years in a formal people management or technical leadership role. A Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or a related quantitative field is required. Applicants need deep expertise in the data science lifecycle, hands-on experience with LLMs and RAG architectures, and proficiency with cloud-native AI services and infrastructure. Strong skills in Agile methodologies and the ability to lead teams using AI-native engineering tools are also necessary.