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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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