Other Requirements: Possesses knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, microservices, event-driven architecture, and predictive analytics, with practical experience applying cloud-based AI, generative AI, data, and integration services in Azure, AWS, GCP, or equivalent platforms. Defines reusable AI architecture patterns and reference implementations (e.g., retrieval-augmented generation, event-driven AI services, agent-based workflows, AI-assisted field operations) and drives adoption across product and project teams.