Own the AI Platform product backlog, roadmap, discovery, sprint ceremonies, requirements, prioritization, metrics, releases, and stakeholder communication. Partner with engineering, consultants, clients, and go-to-market teams to deliver a compliant enterprise AI platform. Guide trade-offs involving security, technical debt, governance, model evaluation, routing, pricing, packaging, and open-core strategy while supporting demos and pre-sales.

Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.