Design and build automated evidence collection pipelines: API and event-driven integrations that pull evidence from cloud (AWS), identity (Okta/Entra), endpoint, ticketing (Jira), source control, and other systems into the platform’s evidence management and controls (CCF) modules with minimal manual handling. Harden AI-assisted workflows (questionnaire response generation, evidence-to-control mapping, parity tracking): build evaluation datasets, scoring rubrics, and regression checks so output quality is measured, and implement guardrails, structured outputs, and fallbacks where accuracy matters.