• Build and launch new, AI-native products powering intelligent workflows, automation, and personalized experiences • Build systems for rigorous evaluation of model quality: establish metrics, automated test suites, and benchmarks for prompt performance • Develop observability & monitoring frameworks for production models, integrating logging, alerting, drift detection, and performance dashboards • Champion best practices in versioning, CI/CD, and artifact management for AI assets, partnering with security, compliance, and devops teams • Collaborate closely with product managers and client-facing teams to align AI features with user needs • Architect and build core infrastructure powering suite of AI/LLM applications to ensure reliability and measurable value to patients and providers