Data Engineer
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.
We are seeking Ai Architect with 9-12 years of experience in the following areas:
- Designing enterprise-grade, agent-based architectures
- Deep knowledge of RAG, embeddings, vector search orchestration, and tool use patterns
- Familiarity with multi-agent coordination and autonomous workflow design
- Expertise in APIs, microservices, and cloud architectures
- Experience implementing AI governance, privacy, and compliance controls
- Experience with multiple AI ecosystems, including Microsoft, open source, and cloud AI platforms
- Define reference architectures for autonomous and semi-autonomous AI agents
- Establish guardrails, human-in-the-loop controls, and auditability for enterprise AI actions
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