Job Summary

The ideal candidate will define and lead the target-state AI data architecture across all lifecycle stages from initial transition and Day 1 operations to ongoing BAU support and continuous optimization. In this role, you will architect mechanisms to ingest, prepare, and structure complex enterprise data sources (including ServiceNow, CMDB, knowledge bases, code repositories, monitoring feeds, and operational logs) for seamless AI agent consumption. You will design governed Retrieval-Augmented Generation (RAG) pipelines, semantic search models, vector indexing strategies, knowledge graphs, and scalable data products tailored for agentic workflows. Crucially, you will enforce strict data governance, ensuring all data accessed by AI agents remains highly accurate, permission-aware, traceable, auditable, and compliant with customer privacy and data boundary standards. Additionally, you will provide cross-functional architectural leadership to AI Data Engineers, Agent Engineers, Forward Deploy Engineers, Solution Architects,



and customer stakeholders to align data strategy with operational objectives.

Responsibilities

- - - - - - - - Who You Are

You re good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you re open and borderless - naturally inclusive in how you work with others.

Required Technical and Qualified Experience

- - - - - - - - Preferred Technical and Professional Experience

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Data Architect (Noida)
🏢 Kyndryl
📍 Noida