The role involves leading the development and implementation of enterprise-grade generative AI and agentic solutions. The individual will translate business needs into testable technical solutions while defining success criteria and scope boundaries. Responsibilities include conducting feasibility assessments, designing prompting strategies, and establishing evaluation methodologies for AI systems. The leader will manage experimentation, model improvements, and the creation of production-ready handoffs. Additionally, the position requires collaborating with cross-functional teams to integrate AI capabilities into platforms and services.

The role requires 15 to 17 years of overall AI and machine learning experience, with at least 4 years specifically in generative AI solutions. Candidates must possess deep expertise in evaluation design, model selection, and prompt engineering. Proficiency in Python and major machine learning frameworks is necessary, alongside experience in RAG design and agentic workflows. Strong communication and stakeholder management skills are also required for this leadership position.