
AI Architect
T-Systems ICT India Pvt. Ltd.9 months ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and lead the development of agentic AI chat systems that autonomously perform tasks and return relevant results.
- Design and develop high-performance, scalable, and reliable MCP server and client architectures.
- Implement chat orchestration systems supporting multi-turn, context-aware conversations and dynamic intent handling.
- Deploy and scale AI models using Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service.
- Design and develop agentic AI models and frameworks for autonomous decision-making, collaboration, negotiation, and adaptation.
- Develop protocols for multi-agent coordination and communication across complex workflows.
- Collaborate with data scientists, ML engineers, data engineers, and product managers to integrate AI solutions into production.
- Define technical roadmaps, architectural standards, and development best practices.
- Evaluate new AI technologies and frameworks and optimize AI models and infrastructure.
- Ensure security, data privacy, and regulatory compliance.
Requirements
- Proven experience as an AI Architect or in a similar role designing large-scale AI/ML systems.
- Strong expertise in TensorFlow, PyTorch, Python, or comparable AI/ML frameworks and programming languages.
- Deep understanding of multi-agent systems, agentic AI principles, and chat orchestration methodologies.
- Experience building and deploying scalable backend services, MCP server/client systems, and distributed systems.
- Familiarity with NLP, conversational AI, dialogue management, and context-aware AI systems.
- Knowledge of Azure and container orchestration with Kubernetes and Docker.
- Strong skills in system design, microservices architecture, and API development.
- Preferred experience with reinforcement learning, meta-learning, adaptive AI, AI ethics, bias mitigation, and privacy-preserving AI.
- Preferred knowledge of event-driven architecture, real-time data processing, DevOps practices, and CI/CD pipelines for AI applications.
- Strong problem-solving, communication, and leadership skills.