ServiceNow AI Governance & Agentic Control Tower Specialist

Job Summary

We are looking for experienced professionals to design and implement AI governance and agentic control capabilities on the ServiceNow platform. The role combines hands-on ServiceNow development with AI governance, Responsible AI, risk management, workflow automation, and enterprise integrations.

Key Responsibilities

• 
  

  Design governance frameworks for AI systems, models, agents, prompts, datasets, and third-party AI services.

  
  


• 
  

  Establish AI inventory, ownership, risk classification, approvals, controls, and lifecycle processes.

  
  


• 
  

  Build governance workflows and dashboards using ServiceNow Flow Designer, Workflow Studio, and integrations.

  
  


• 
  

  Implement governance controls for agent identity, tool permissions, human approvals, auditability, and safe execution.

  
  


• 
  

  Translate AI risk, security, privacy, and compliance requirements into practical controls.

  
  


• 
  

  Integrate ServiceNow with GRC tools, enterprise AI platforms, identity systems, and data platforms.

  
  


• 
  

  Collaborate with risk, security, privacy, architecture, and engineering teams.

  
  

Mandatory Skills

• 
  

  5–10 years of overall technology experience with hands-on ServiceNow implementation experience.

  
  


• 
  

  Strong knowledge of ServiceNow configuration/development, including tables, roles, ACLs, and application scopes.

  
  


• 
  

  Experience with Flow Designer / Workflow Studio, approvals, notifications, and reusable actions.

  
  


• 
  

  Hands-on experience with IntegrationHub, REST APIs, Scripted REST, or similar integrations.

  
  


• 
  

  Experience in AI Governance, Responsible AI, Model Risk, Technology Risk, GRC controls, or enterprise control-tower implementation.

  
  


• 
  

  Understanding of AI asset inventory, lifecycle management, risk assessments, controls, and monitoring.

  
  


• 
  

  Knowledge of agentic AI concepts, orchestration, human-in-the-loop controls, authorization, and evaluation.

  
  


• 
  

  Understanding of OAuth/OIDC, role-based access, service identities, and audit trails.

  
  

Good-to-Have Skills

• 
  

  ServiceNow AI Control Tower experience.

  
  


• 
  

  ServiceNow AI Agent Studio, Now Assist, and AI Search.

  
  


• 
  

  MCP, A2A, AI Agent Fabric, and external agent integrations.

  
  


• 
  

  ServiceNow IRM/GRC, CMDB, and enterprise workflow experience.

  
  


• 
  

  Custom AI control tower, model registry, or governance portal development.

  
  


• 
  

  Archer, MetricStream, OneTrust, or IBM OpenPages.

  
  


• 
  

  LangGraph, Semantic Kernel, AutoGen, Azure AI, or AWS Bedrock.

  
  

Preferred Certifications

• 
  

  ServiceNow Certified System Administrator (CSA).

  
  


• 
  

  ServiceNow IRM/GRC or AI-related certifications.

  
  


• 
  

  AI Governance, Risk, Audit, Privacy, or Security certifications.

  
  

Five Primary Skills

• 
  

  ServiceNow Development & Configuration

  
  


• 
  

  AI Governance / Responsible AI

  
  


• 
  

  ServiceNow IRM / GRC

  
  


• 
  

  Agentic AI & Governance Controls

  
  


• 
  

  REST API & Enterprise Integrations