Company Introduction – T-Systems ICT India Pvt. Ltd. T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector. For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

Experience: 6 Years +

**Key Responsibilities**

• Design and develop a production-grade Multi Agent Runtime that manages agent lifecycle, state persistence, audit logging, and orchestration of specialized diagnostic agents
• Build and optimize the Principal Agent that dynamically schedules tasks and aggregates results from downstream agents (Performance, Topology, Alarm, Ticket, CX, and Event Scout) using the Model Context Protocol (MCP)
• Implement the RCA Inspector reasoning engine that analyzes multi-source incident context against structural playbooks and historical data to produce ranked, explainable root cause hypotheses
• Maintain stream-to-stream API contracts and integrations with neighboring systems, including Data Stream (Pub/Sub anomaly consumption), Knowledge Stream (semantic graph queries), and Experience Stream (WebSocket/SSE operator dashboards)
• Build secure, human-in-the-loop integrations for the Remediation Agent to interface with backend APIs, enabling controlled actions such as traffic reroutes, ticket creation, and partner notifications under strict approval gates
• Ensure all agent decisions, intermediate steps, and reasoning are logged and reconstructable for full auditability and explainability

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