When AWS announced its 2024 AI integration initiative, the OpenSearch Observability team faced a foundational challenge: reimagining DevOps workflows through the lens of generative AI. Building on a year of experience designing AI-driven search comparison tools, I spearheaded the discovery phase—mapping the intersection of machine learning capabilities and practitioner needs through strategic JTBD frameworks.
I orchestrated collaborative workshops with product management, engineering, and ML scientists to translate existing customer pain points into actionable AI interaction models. This resulted in a comprehensive design system for multi-turn GenAI agents and scenario-based workflows tailored for root cause analysis. Working backward from re:Invent 2024, I established rapid iteration cycles that aligned design delivery with product milestones without compromising user experience rigor.
The OpenSearch Assistant Toolkit debuted as the keynote demonstration at re:Invent 2024. I designed the end-to-end experience for its flagship capabilities—including conversational AI assistants, natural language to visualization generation, AI-powered anomaly detection, NLQ summarization, and agentic reporting—establishing a new benchmark for intelligent observability tools in the DevOps ecosystem.
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