Senior AI Multi Agent Developer MINDR Intelligence Stream

About the Position

We are looking for a Senior AI Multi Agent Developer for the MINDR Intelligence Stream at T-Systems. As part of this role, you will focus on designing and implementing a production-grade Multi Agent Runtime.

Responsibilities

• Design and Develop the Multi Agent Runtime: Build, optimize, and maintain the deployable Python runtime hosting MINDR agents. Handle agent lifecycle management, instantiation, state persistence, audit trail logging, and termination.
• Orchestration Agent Tooling: Build and scale the Principal Agent that dynamically schedules tasks and aggregates results from downstream child agents.
• Performance, Topology, Alarm, Ticket, CX, and Event Scout: Implement using Model Context Protocol (MCP).
• RCA Inspector: Program the reasoning engine that consumes multi-source incident context and compares it against structural playbooks to produce ranked explainable root cause hypotheses.
• Stream to Stream API Contracts: Maintain tight integration and high API hygiene with neighboring streams.
• Data Stream: React to Anodot anomaly streams via Pub/Sub and consume Silver layer telemetry.
• Knowledge Stream: Issue semantic queries to the Knowledge Graph for network topology context.
• Experience Stream: Expose WebSocket/SSE streams of agent run lifecycle events for real-time operator dashboards.
• Human in the Loop (HITL) Remediation: Build safe, secure integrations for the Remediation Agent to interface with Tardis fronted APIs.

Requirements

• Must Have Core Skills

  • Advanced Python Development: Deep expertise in building scalable production-ready backend services in Python.
  • Agentic Orchestration: Hands-on experience developing multi-agent systems, complex prompt engineering, tool use logic, and state management using frameworks or custom runtime loops.
  • API Integration Expertise: Proven experience designing clean, contract-driven APIs (gRPC, REST, WebSockets, or SSE) and building integrations via the Model Context Protocol (MCP).
  • Cloud Stream Infrastructure: Familiarity with the Google Cloud Platform (GCP) ecosystem, specifically Pub/Sub, BigQuery, and Cloud Functions, and streaming architectures (Kafka, CDI).
  • Production Diagnostics Mindset: A strong engineering focus on explainability and auditability, ensuring all agent intermediate steps and decisions are logged and reconstructable.

• Nice to Have Skills

  • Familiarity with Network Topology, IP Core, Overload Protection, or telecommunications protocols (VoLTE, service chains).
  • Experience working with time series anomaly detection engines (e.g., Anodot, Prophet).
  • Graph database query experience, semantic queries, graph-based reasoning.

We Offer

• Competitive salary
• Opportunity to work with cutting-edge AI technologies
• Professional growth and development opportunities

About the Company

T-Systems ICT India Pvt. Ltd. is a certified Great Place To Work®, 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.

Job Location

India

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