Job Description

Project Role :

Application Support Engineer

Project Role Description :

Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

Must have skills :

Python (Programming Language)

Good to have skills :

NA

Minimum

7.5

year(s) of experience is required

Educational Qualification :

15 years full time education



"Job Summary: 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. This role requires deep expertise in AI system architecture, multi-agent coordination, and scalable infrastructure to enable next-generation intelligent applications. ________________________________________ Key Responsibilities: o Architect and lead the development of agentic AI Chat systems that autonomously perform tasks and show relevant results to questions asked. o Design and develop MCP server and client architectures ensuring high performance, scalability, and reliability. o Architect and implement advanced chat orchestration systems to enable seamless multi-turn conversations with context-awareness and dynamic intent handling. o Utilize Azure Stack services including Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service for deploying and scaling AI models. o Lead the design and development of agentic AI models, enabling autonomous decision-making agents that can collaborate, negotiate, and adapt to changing environments. o Develop frameworks and protocols for multi-agent AI coordination and communication to support complex workflows and emergent behaviors. o Collaborate with cross-functional teams including data scientists, ML engineers, Data Engineers, and product managers to integrate AI solutions into production systems. o Define technical roadmaps, architectural standards, and best practices for AI system development. o Evaluate new AI technologies and frameworks to continuously enhance system capabilities. o Ensure system security, data privacy, and compliance with relevant regulations. o Troubleshoot and optimize AI models and infrastructure for latency, throughput, and resource efficiency. ________________________________________ Required Qualifications: o Proven experience as an AI Architect or similar role designing large-scale AI/ML systems. o Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python). o Deep understanding of multi-agent systems, agentic AI principles, and chat orchestration methodologies. o Experience with building and deploying scalable backend services (MCP server/client) and distributed systems. o Familiarity with NLP, conversational AI, dialogue management, and context-aware AI systems. o Solid knowledge of cloud platforms (Azure) and container orchestration (Kubernetes, Docker). o Strong skills in system design, microservices architecture, and API development. o Excellent problem-solving, communication, and leadership skills. ________________________________________ Preferred Skills: o Experience with reinforcement learning, meta-learning, or adaptive AI techniques. o Familiarity with AI ethics, bias mitigation, and privacy-preserving AI methods. o Knowledge of event-driven architecture and real-time data processing. o Exposure to DevOps practices and CI/CD pipelines for AI applications."




15 years full time education