ServiceNow AI Governance & Agentic Control Tower Specialist

Experience: 6+ Years
Work Mode: Remote
Working Hours: 10:00 AM – 7:00 PM IST
Contract Duration: 6 Months (Extendable based on requirements)
Interview Process: 2–3 Rounds, Including Client Round
Engagement Type: Contract

Job Overview
We are looking for experienced ServiceNow AI Governance & Agentic Control Tower Specialists to design, develop, and implement AI governance and agentic AI control capabilities using the ServiceNow platform.

The ideal candidate must have strong hands-on ServiceNow configuration or development experience, combined with practical knowledge of AI governance, Responsible AI, technology risk, GRC controls, or enterprise control-tower solutions.

Experience with ServiceNow AI Control Tower is highly preferred but not mandatory. Candidates who have developed custom AI governance frameworks, governance portals, or control-tower solutions using other enterprise platforms will also be considered, provided they have meaningful hands-on ServiceNow experience.

Key Responsibilities
Design and implement governance frameworks for AI systems, models, agents, prompts, datasets, tools, and third-party AI services.
Develop AI asset inventories, ownership models, risk classifications, approval processes, controls, exceptions, and lifecycle management workflows.
Configure and develop ServiceNow applications, data models, workflows, dashboards, and case-management solutions for AI governance.
Build governance workflows using Flow Designer / Workflow Studio, approvals, notifications, reusable actions, and platform automation.
Implement controls for agentic AI, including agent identity, tool permissions, authorization boundaries, human approvals, auditability, and failure handling.
Translate Responsible AI, information security, privacy, risk, and compliance requirements into measurable controls with appropriate evidence and monitoring.
Integrate ServiceNow with GRC platforms, enterprise AI services, identity systems, model registries, data platforms, and observability tools.
Configure tables, roles, ACLs, application scopes, and security controls within the ServiceNow platform.
Develop integrations using IntegrationHub, REST APIs, Scripted REST APIs, webhooks, and other enterprise integration patterns.
Collaborate with risk, security, privacy, architecture, data, and engineering teams to establish governance ownership and operating procedures.
Maintain technical documentation, implementation records, control evidence, and operational procedures.

Mandatory Skills & Qualifications
1. ServiceNow Platform Experience
Minimum 6 years of overall technology experience, with meaningful hands-on ServiceNow implementation experience.
Hands-on experience with ServiceNow configuration or development, including tables, roles, ACLs, and application scopes.
Practical experience with Flow Designer / Workflow Studio, approvals, notifications, and reusable actions.
Experience with IntegrationHub, REST APIs, Scripted REST APIs, or comparable ServiceNow integration patterns.
Exposure to at least one ServiceNow area, such as IRM/GRC, ITSM, CMDB/CSDM, App Engine, or a comparable platform capability.

2. AI Governance & Risk Management
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, evidence collection, exceptions, issues, and monitoring.
Ability to translate governance and compliance requirements into operational workflows, data models, dashboards, and integrations.

3. Agentic AI & Security
Working knowledge of AI agents, tools, orchestration, human-in-the-loop controls, authorization, evaluation, and failure handling.
Understanding of least privilege, OAuth/OIDC, service identities, role-based access control, and audit trails.
Familiarity with REST APIs, webhooks, and event-driven integration patterns.

Good-to-Have Skills
Hands-on experience with ServiceNow AI Control Tower, including AI inventory, governance, lifecycle, risk, or monitoring.
Exposure to ServiceNow AI Agent Studio, Now Assist, AI Search, or other ServiceNow GenAI capabilities.
Familiarity with MCP, A2A, AI Agent Fabric, or external agent and tool integrations.
Experience connecting AI governance capabilities with ServiceNow IRM/GRC, CMDB, or enterprise workflow solutions.
Experience building a custom AI control tower, model registry, governance portal, or similar governance solution.
Familiarity with enterprise GRC platforms such as Archer, MetricStream, OneTrust, or IBM OpenPages.
Exposure to agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, Azure AI, or Amazon Bedrock.
Knowledge of AI governance, risk, audit, privacy, or security frameworks.
ServiceNow CSA or relevant ServiceNow IRM/GRC, AI, or Now Assist certifications.

Important: ServiceNow AI Control Tower experience is preferred but not mandatory. Strong AI governance and agentic AI knowledge combined with practical ServiceNow implementation experience is the priority.