Seeking a distinguished GenAI and Agentic AI Architect with extensive experience in Microsoft Azure's AI/ML services. This role is pivotal in designing and implementing robust, secure, and scalable GenAI systems utilizing advanced frameworks and cloud technologies.

Key responsibilities include defining architectural blueprints, developing end-to-end solutions, and leading the integration of multi-agent patterns for enterprise-wide GenAI adoption. The ideal candidate will possess deep expertise in LLM orchestration and cloud-native engineering principles.

Architecting and delivering production-grade GenAI systems on Microsoft Azure. Leveraging Azure AI Foundry, Azure OpenAI, and Azure Agents for solution development. Implementing multi-agent solutions using frameworks like Langgraph and CrewAI. Designing and integrating vector databases and Python-based agentic AI capabilities. Defining reference architectures and driving the adoption of advanced GenAI patterns. Leading complex implementations and ensuring the scalability and security of deployed systems.

Minimum 15 years of professional experience in AI/ML architecture. Proven hands-on expertise with Microsoft Azure's AI/ML ecosystem. Deep understanding of multi-agent frameworks, LLM orchestration, and cloud-native engineering. Experience with Azure AI Foundry, Azure OpenAI, Azure Agents, and Microsoft Agent Framework. Proficiency in Langgraph, CrewAI, vector databases, and Python for agentic AI solutions. Demonstrated ability to architect and deliver scalable, secure, production-grade GenAI systems.