ServiceNow AI Governance & Agentic Control Tower Specialist

ServiceNow AI Governance & Agentic Control Tower Specialist

Summary

Responsibilities

• Architect and manage the ServiceNow AI Control Tower to oversee the deployment of AI agents and monitor their performance.
  
• Design and implement AI governance policies, including risk assessment protocols, asset inventory management, and lifecycle controls for AI models.
  
• Utilize AI Agent Studio and Now Assist to develop intelligent automation solutions that align with business objectives.
  
• Oversee the configuration of Flow Designer and Workflow Studio to streamline approval processes and automate complex tasks.
  
• Maintain the integrity of the Configuration Management Database (CMDB) to ensure accurate mapping of AI assets and their dependencies.
  
• Evaluate and integrate external AI platforms, such as Amazon Bedrock, via IntegrationHub and custom APIs.
  
• Conduct comprehensive risk assessments for AI initiatives and ensure adherence to Integrated Risk Management (IRM) and Governance, Risk, and Compliance (GRC) standards.
  
• Develop and manage REST and Scripted REST APIs to facilitate seamless data exchange between AI components and enterprise systems.
  

Requirements

• Minimum of six years of professional experience in IT services, with a strong focus on ServiceNow platform administration and development.
  
• Proven expertise in ServiceNow AI Control Tower, AI Agent Studio, and Now Assist capabilities.
  
• Deep understanding of IRM, GRC principles, and CMDB best practices within an AI context.
  
• Hands-on experience with MCP (Model Context Protocol) and integration with external AI models like Amazon Bedrock.
  
• Proficiency in Flow Designer and Workflow Studio for building advanced approval workflows and automation sequences.
  
• Strong background in AI governance, including the creation of AI asset inventories, risk evaluation, and lifecycle management strategies.
  
• Advanced technical skills in IntegrationHub, REST APIs, and Scripted REST APIs for custom integrations.
  
• Demonstrated ability to work within a salary range of ₹15-18 LPA, reflecting the seniority and specialized skill set required for this role.