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Kyndryl

AI Data Architect

Kyndryl

AI Data Architect at Kyndryl designing AI data architecture and governing data pipelines. Leading multiple engineering functions across enterprise data lifecycle in a flexible hybrid environment.

Posted 8/2/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI data architecture, focusing on the design and implementation of Retrieval-Augmented Generation (RAG) pipelines and compliance with data governance standards. Proven ability to lead cross-functional teams and facilitate workshops to align engineering functions with architectural goals.

Highest-signal resume keywords
AI Data ArchitectureRetrieval-Augmented Generation (RAG)Context ManagementServiceNowZero Trust Data Access

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Enterprise Data ArchitectureGenAIHybrid SearchData GovernanceData IngestionPerformance MetricsEvaluation Datasets
Soft Skills
LeadershipFacilitationTeam Alignment
Tools & Technologies
ServiceNowCMDB Models
Industry Keywords
Data Privacy ControlsCompliance Standards

Tech Stack

Tools & technologies
ServiceNow

About the role

Key responsibilities & impact
  • Define and lead AI data architecture across all lifecycle stages
  • Architect mechanisms to ingest and structure complex data sources
  • Design Retrieval-Augmented Generation (RAG) pipelines and semantic search models
  • Enforce data governance standards and ensure compliance
  • Provide architectural leadership to various engineering functions

Requirements

What you’ll need
  • 10+ years in enterprise data/platform architecture
  • 3+ years in GenAI, RAG, and AI agent data models
  • Expertise in context management and hybrid search across vector engines
  • Experience with ServiceNow, CMDB models, and ticket workflows
  • Knowledge in Zero Trust data access and privacy controls
  • Strong capability in retrieval performance metrics and evaluation datasets
  • Ability to facilitate workshops and align multi-disciplinary teams

Benefits

Comp & perks
  • Professional development opportunities
  • Mental, physical, and social health support
  • Flexible working culture
  • Employee feedback initiatives