Lead and mentor two Quality Intelligence Engineers (senior and mid-level), guiding delivery from prototype to production, Build AI-assisted quality intelligence systems using modern LLM frameworks (LangChain, LangSmith) and strong engineering fundamentals. Develop agentic workflows that continuously run product assurance checks across websites, services, and applications, Detect meaningful anomalies early while reducing noise through operational thresholds and alert guardrails and build defect risk forecasting models and recurring failure pattern analyses using BigQuery and advanced SQL, Integrate quality intelligence with incident.io, enriching incidents with diagnostic context, including what changed, where, severity signals, and correlations, Create automated pipelines for monitoring, reporting, escalation, and early-warning detection. Support incident response teams during live events with real-time analysis, historical context, and accelerated root-cause investigation, Build proof-of-concepts, run experiments, and communicate outcomes clearly to leadership and wider organizational forums. Share knowledge across teams to help IU become a leader in practical, responsible AI-powered quality assurance