AI Architect
Core
Design, develop, and deploy advanced AI systems including MCP server/client infrastructure, chat orchestration frameworks, and agentic AI solutions with data governance.
Role type
Senior AI Architect (Agentic AI & Multi-Agent Systems)
Builds
Autonomous agentic AI chat systems, scalable MCP server/client architectures, and multi-agent coordination frameworks.
Domain
Enterprise AI, Cloud Infrastructure, Multi-Agent Systems
Required skills
AI system architecture, multi-agent coordination, agentic AI principles, chat orchestration, Azure cloud services, Kubernetes, Python, TensorFlow/PyTorch, microservices design, API development, system security.
Preferred skills
Reinforcement learning, meta-learning, AI ethics, event-driven architecture, DevOps/CI-CD.
Technologies
Azure Machine Learning, Azure Cognitive Services, Azure Kubernetes Service, TensorFlow, PyTorch, Python, Kubernetes, Docker. (via careerplan.io/jobs/744000097244586-ai-architect-at-t-systems-ict-india-pvt-ltd)
Responsibilities
Architect agentic AI chat systems for autonomous task execution; design MCP server/client architectures for high performance; implement chat orchestration for multi-turn conversations; lead development of autonomous decision-making agents; define technical roadmaps and architectural standards; optimize AI models for latency and throughput.
Seniority
Senior, hands-on IC with leadership responsibilities
