• Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure. • Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations). • Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling. • Lead API design and implementation with a focus on usability, performance, and long-term maintainability. • Architect and evolve microservices using domain-driven design principles. • Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities. • Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities. • Provide technical leadership, mentorship, and architectural guidance to engineers. • Establish and elevate engineering best practices across design, development, testing, and operations.