Data Engineer

Location: Bengaluru, KA, in

Company Description

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.

Job Description

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

Additional Information

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