We seek a seasoned GenAI and Agentic AI Architect to lead the design and implementation of cutting-edge AI solutions on Microsoft Azure. This role demands extensive experience with Azure's AI/ML services, multi-agent systems, LLM orchestration, and robust cloud-native development practices. You will be instrumental in defining architectural blueprints, developing comprehensive end-to-end solutions, and guiding complex projects to successful completion.

Your expertise will drive the adoption of advanced GenAI and multi-agent patterns within the enterprise, ensuring scalable, secure, and production-ready deployments. This is a key opportunity to shape the future of AI at our organization.

Architect and deliver scalable, secure, and production-grade Generative AI and Agentic AI systems.

Leverage deep hands-on expertise in Microsoft Azure's AI/ML ecosystem, including Azure AI Foundry, Azure OpenAI, and Azure Agents.

Implement solutions using multi-agent frameworks like Langgraph/CrewAI and vector databases.

Develop Python-based agentic AI solutions and orchestrate LLMs effectively.

Define reference architectures and build end-to-end solutions for enterprise adoption.

Lead complex implementations and drive best practices for advanced GenAI patterns.

Requires a minimum of 15 years of experience in AI/ML architecture and development.

Possesses deep, hands-on expertise with Microsoft Azure's AI/ML services and cloud-native engineering.

Demonstrated experience with multi-agent frameworks, LLM orchestration, Azure AI Foundry, Azure OpenAI, Azure Agents, Microsoft Agent Framework, Langgraph/CrewAI, and vector databases.

Proficiency in Python for building agentic AI solutions is essential.

Proven ability to architect, deliver, and lead complex, production-grade AI systems.

Strong understanding of building scalable and secure cloud-native applications.