Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, demand forecasting, targeting, and personalization. Collaborate with engineers, product, and stakeholders to set architecture, metrics, and production best practices; mentor data scientists; lead experimentation and deploy/monitor models using cloud and MLOps tooling.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

Lead design and build of an AI-native engineering OS enabling AI across the SDLC/PDLC. Deliver model access, agent orchestration, prompt/spec frameworks, developer portals, CI/CD re-architecture, governance, cost optimization, and an internal AI marketplace. Build and lead an AI platform engineering org and drive org-wide adoption of standardized AI workflows and tooling.