The role involves operating on the frontlines of enterprise AI transformation by embedding with customers to identify high-value opportunities. The individual will architect AI-powered systems that drive return on investment and guide the scaling of these solutions across the platform. Responsibilities include leading strategic discovery workshops, collaborating with engineers to build and iterate functional solutions, and codifying best practices into reusable frameworks. The position requires capturing field feedback to shape product strategy and enabling internal teams through documentation. Ultimately, the role focuses on delivering measurable business outcomes and ensuring successful production deployment of intelligent systems.

Candidates must possess 15 years of overall experience, including 5 to 7 years in enterprise AI/ML architecture, field engineering, or solution consulting. A minimum of 3 years of experience leading initiatives from conception to delivery is required. Technical mastery of LLM-based systems, GenAI pipelines, and cloud infrastructure is necessary. Proficiency in Python and SQL is required, along with the ability to lead cross-functional teams and influence executive stakeholders.