Jobs → Customer Support → ServiceNow AI Governance & Agentic Control Tower Specialist

ServiceNow AI Governance & Agentic Control Tower Specialist

Sandhya MRemoteMIDPosted 4d ago
ServiceNowFlow DesignerWorkflow StudioACLsrolestablesapplication scopesIntegrationHubREST APIsScripted REST APIsAI GovernanceResponsible AIGRC controlsAI risk managementcompliance workflowsAgentic AIAI agentstool permissionshuman-in-the-loop approvalsaudit trailsServiceNow IRM/GRCITSMCMDB/CSDMApp EngineServiceNow AI Control TowerAI Agent StudioNow AssistMCPA2ALangGraphSemantic KernelAutoGenAzure AIAmazon BedrockAI governance frameworksmodel registriesenterprise control-tower solutions
About the Role We are looking for a ServiceNow AI Governance & Agentic Control Tower Specialist to join our team. This role focuses on implementing and managing AI governance solutions within the ServiceNow platform. Key Responsibilities • Configure and develop ServiceNow solutions with a focus on AI governance and agentic control • Implement workflows using Flow Designer and Workflow Studio • Manage ACLs, roles, tables, and application scopes • Integrate systems using IntegrationHub, REST APIs, and Scripted REST APIs • Ensure compliance with AI governance, Responsible AI, GRC controls, and AI risk management • Implement agentic AI solutions with proper tool permissions, human-in-the-loop approvals, and audit trails Requirements • 6+ years of experience with ServiceNow configuration and development • Strong hands-on experience with Flow Designer / Workflow Studio, ACLs, roles, tables, and application scopes • Hands-on experience with IntegrationHub, REST APIs, and Scripted REST APIs • Knowledge of AI Governance, Responsible AI, GRC controls, AI risk management, and compliance workflows • Understanding of Agentic AI, AI agents, tool permissions, human-in-the-loop approvals, and audit trails • Experience with ServiceNow IRM/GRC, ITSM, CMDB/CSDM, or App Engine Good to Have • ServiceNow AI Control Tower, AI Agent Studio, or Now Assist experience • MCP, A2A, LangGraph, Semantic Kernel, AutoGen, Azure AI, or Amazon Bedrock • Experience with AI governance frameworks, model registries, or enterprise control-tower solutions

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