The role involves leading the experimentation pipeline for new technologies and model types to guide teams through proof-of-concepts and scaled launches. The individual will shape an AI ecosystem by building robust and scalable services while translating complex business challenges into engineering roadmaps and technical specifications. Responsibilities include writing code to create functional prototypes and providing technical leadership across data platforms and distributed systems. The position requires driving cross-functional collaboration to ensure alignment on architecture and success metrics. Additionally, the role focuses on establishing standards for responsible AI, including data quality, model testing, and governance.

Candidates must hold a Master's degree in a relevant field or a Bachelor's degree with at least two years of related experience. Alternatively, a minimum of five years of directly related experience is accepted. Proficiency in general programming languages such as Python, NodeJS, or Java is required. The role demands experience in building and deploying modern services and web applications.