AI Engineer, Agent Analytics & Optimization (DPI)

Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. Conviva is the intelligence layer for digital businesses, turning every consumer interaction i nto ou tcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. The Opportunity AI agents are becoming a new digital surface alongside mobile and web. This role builds the systems that let AI agents understand, query, and act on Conviva's behavioral data — MCP servers, agentic workflows, and the AI connectors that tie the platform into any client or downstream system. This is a builder role end-to-end: design and ship agentic systems from tool interface through deployment, observability, and iteration — working closely with product and customers. This is not a research role, and it is not prompt engineering; the team builds production systems that use AI to solve real problems at scale. How This R