Description

• End-to-End AI Solution Architecture • Cloud-Native and API-Led AI Solution Design • AI/ML Model Integration and Enterprise Application Architecture • Data Pipeline, Data Platform, and Integration Architecture • Scalability, Resilience, Performance, and Security Design • Reusable Architecture Patterns and Cross-POD Collaboration • Define end-to-end AI solution architecture covering AI models, data pipelines, APIs, integration layers, and enterprise applications. • Design cloud-native, API-led AI solutions aligned with enterprise architecture standards, security guidelines, and business objectives. • Ensure architectural alignment across AI/ML models, data engineering pipelines, integration services, and consuming enterprise systems. • Drive solution scalability, resilience, performance, maintainability, and operational readiness for enterprise-grade AI implementations. • Collaborate across PODs to establish reusable architecture patterns, reference designs, and implementation guardrails

Key Skills

Education

Bachelor's degree