1.Architect and lead the development of agentic AI Chat systems that autonomously perform tasks and show relevant results to questions asked.
2.Design and develop MCP server and client architectures ensuring high performance, scalability, and reliability.
3.Architect and implement advanced chat orchestration systems to enable seamless multi-turn conversations with context-awareness and dynamic intent handling.
4.Utilize Azure Stack services including Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service for deploying and scaling AI models.
5.Lead the design and development of agentic AI models, enabling autonomous decision-making agents that can collaborate, negotiate, and adapt to changing environments.
6.Develop frameworks and protocols for multi-agent AI coordination and communication to support complex workflows and emergent behaviors.
7.Collaborate with cross-functional teams including data scientists, ML engineers, Data Engineers, and product managers to integrate AI solutions into production systems.
8.Define technical roadmaps, architectural standards, and best practices for AI system development.
9.Evaluate new AI technologies and frameworks to continuously enhance system capabilities.
10.Ensure system security, data privacy, and compliance with relevant regulations.
11.Troubleshoot and optimize AI models and infrastructure for latency, throughput, and resource efficiency. _