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Servicenow Architect

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Servicenow Architect

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Servicenow Architect

Skills

AIAWSServiceNow

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹3,000,000 – ₹4,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

15 October 2026

What they need


Job highlights

  • 10-20 years experience with expertise in ServiceNow ITOM Suite, CMDB Architecture, API Architecture, Integration Hub, and AI readiness
  • Lead architecture and roadmap for ServiceNow CMDB and ITOM, design integration frameworks, drive CMDB maturity, architect Discovery and Service Mapping solutions, define governance models, design AI-enabled CMDB architectures, and mentor engineering teams

Position: ServiceNow Architect

Exp: 10-20 Years

Mandatory Skills: ServiceNow ITOM Suite, Service Mapping, CMDB Architecture, API Architecture, Integration Hub, Data Integration, Cloud Architecture, Enterprise Data Modeling, CMDB Coverage, Data Quality Improvements, AI Readiness of CMDB Ecosystem.

Description

Lead architecture, design, and roadmap development for ServiceNow CMDB and ITOM capabilities. This role will define target-state architecture, drive integration strategies, establish governance standards, and enable future AI-powered operational intelligence capabilities.

The Architect will serve as the technical authority for CMDB, Discovery, Service Mapping, integration architecture, and AI-driven operational transformation initiatives.

Role

Architecture Leadership

  • Define target-state CMDB and ITOM architecture.
  • Design scalable integration frameworks.
  • Establish architecture standards and best practices.
  • Drive CMDB maturity and ITOM roadmap planning.

ITOM & CMDB Transformation

  • Architect Discovery and Service Mapping solutions.
  • Define CI lifecycle and governance models.
  • Design reconciliation and data quality frameworks.
  • Establish application and infrastructure dependency models.

Integration Architecture

  • Design integrations across enterprise systems.
  • Evaluate onboarding approaches for new data sources.
  • Define API strategies and data exchange standards.
  • Enable data aggregation from infrastructure, cloud, identity, ERP, and business systems.

AI & Operational Intelligence

  • Design AI-enabled Configuration Management architectures.
  • Define patterns for operational intelligence platforms.
  • Architect context layers, knowledge layers, and enterprise ontology models.
  • Support future Agentic Operations and CMDB Control Tower initiatives.
  • Evaluate AWS Bedrock, LLM integrations, and AI workflows.

Technical Governance

  • Conduct design reviews.
  • Mentor engineering teams.
  • Enforce platform engineering standards.

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