• Design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. • Architect and design cloud-native, scalable GenAI platforms leveraging Microsoft Azure services. • Define end-to-end system architectures integrating GenAI components with enterprise applications. • Design and govern API-first architectures, including REST/GraphQL APIs, service contracts, and integration patterns. • Implement security-by-design principles, including identity and access management, network security, data protection, and compliance standards. • Design and optimize event-driven architectures using messaging, streaming, and asynchronous processing patterns. • Lead architectural decisions around scalability, performance, reliability, and cost optimization. • Collaborate closely with engineering, data, AI, and platform teams to ensure successful implementation of architectural designs. • Provide technical leadership, mentorship, and architectural guidance across teams. • Establish best practices, standards, and reference architectures for GenAI solutions. • Review and approve solution designs to ensure alignment with enterprise and cloud architecture standards.