About the job
T-Systems Information and Communication Technology India is on the lookout for an innovative AI Architect to spearhead the design, development, and implementation of sophisticated AI systems. This includes the Multi-Component Platform (MCP) server and client frameworks, chat orchestration architectures, and leading-edge agentic AI solutions that prioritize Data Governance.
The ideal candidate will possess extensive knowledge in AI system architecture, multi-agent coordination, and scalable infrastructure, aimed at facilitating the next generation of intelligent applications.
Main Responsibilities:
- Lead the architecture and development of autonomous AI chat systems capable of efficiently executing tasks and delivering relevant responses.
- Design and implement MCP server and client architectures ensuring optimal performance, scalability, and reliability.
- Architect and develop advanced chat orchestration systems that support seamless multi-turn conversations with contextual awareness and dynamic intent management.
- Leverage Azure Stack services such as Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service for deploying and scaling AI models.
- Drive the design and development of agentic AI models that empower autonomous decision-making agents capable of collaboration, negotiation, and adaptation.
- Create frameworks and protocols for multi-agent AI coordination and communication to facilitate complex workflows and emergent behaviors.
- Work closely with cross-functional teams, including data scientists, machine learning engineers, data engineers, and product managers, to integrate AI solutions into production environments.
- Establish technical roadmaps, architectural standards, and best practices for AI system development.
- Continuously assess new AI technologies and frameworks to enhance system capabilities.
- Prioritize system security, data privacy, and compliance with applicable regulations.
- Diagnose and optimize AI models and infrastructure focusing on latency, throughput, and resource efficiency.
