Build and operate production AI and rule-based agents for lead generation workflows. Responsibilities include integrating agents with data warehouses, internal services, and APIs; implementing structured outputs, validation, permissions, guardrails, audit logging, autonomy controls, evaluation, tracing, failure handling, and performance monitoring. Collaborate with operators, data scientists, product managers, and users to deliver dependable, measurable, and commercially valuable agent systems.

Build and productionize classical machine-learning models for lead quality and traffic performance, including classification, ranking, anomaly detection, and forecasting. Apply decision science through contextual bandits, experimentation, causal methods, and off-policy evaluation to improve agent decisions. Monitor models, measure commercial impact, establish guardrails, and collaborate with AI engineers, product managers, platform teams, and business operators.