AI Architect

Job Summary

1. We are seeking a visionary AI Architect to lead the design, development, and deployment of advanced AI systems, including MCP (Multi-Component Platform) server and client infrastructure, chat orchestration frameworks, and cutting-edge agentic AI solutions with Data Governance.
2. This role requires deep expertise in AI system architecture, multi-agent coordination, and scalable infrastructure to enable next-generation intelligent applications. 

Key Responsibilities

• 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. _

Required Qualifications

1. Proven experience as an AI Architect or similar role designing large-scale AI/ML systems.

2.Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python).

1. Deep understanding of multi-agent systems, agentic AI principles, and chat orchestration methodologies. 4. Experience with building and deploying scalable backend services (MCP server/client) and distributed systems.

5.Familiarity with NLP, conversational AI, dialogue management, and context-aware AI systems.

6.Solid knowledge of cloud platforms (Azure) and container orchestration (Kubernetes, Docker).

7.Strong skills in system design, microservices architecture, and API development.

8.Excellent problem-solving, communication, and leadership skills.

Preferred Skills:  

1.Experience with reinforcement learning, meta-learning, or adaptive AI techniques.

2.Familiarity with AI ethics, bias mitigation, and privacy-preserving AI methods.

3.Knowledge of event-driven architecture and real-time data processing.

4.Exposure to DevOps practices and CI/CD pipelines for AI applications.

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