Lead the design and governance of enterprise-wide Generative AI architecture, defining strategy, standards, and best practices for scalable, secure, and responsible AI solutions across cloud-native environments.
- Define enterprise-wide Generative AI architecture strategy, standards, and best practices
- Design scalable and secure LLM-powered solutions using Azure OpenAI and Azure AI Services
- Architect enterprise-grade RAG platforms leveraging vector databases, semantic search, and knowledge management systems
- Design and govern Agentic AI ecosystems utilizing AI Agents, tool calling, orchestration, and autonomous workflows
- Evaluate and select appropriate foundation models, embeddings, and multimodal architectures
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
- Nice to have: Microsoft Certified: Azure Solutions Architect Expert
- Nice to have: Microsoft Certified: Azure AI Engineer Associate
- Nice to have: Microsoft Certified: Azure AI Fundamentals
- Nice to have: Experience working with Fortune 500 enterprise AI transformation programs
GenAI ArchitectNewZensar · India