Application Support Engineer

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

15 years full time education