ServiceNow AI Developer
New
J
JobgetherSecurity & IT
Based in Bangalore, India, with remote flexibility.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5 years of professional ServiceNow development experience
- Required Skills
- ScriptingServiceNow
Requirements
- Minimum 5 years of professional ServiceNow development experience, including strong hands-on experience with scripting, Studio, and App Engine.
- Strong knowledge of CMDB and CSDM, including CI classes, relationships, data modeling, and configuration data health.
- Practical experience with Flow Designer, IntegrationHub, and Service Graph Connectors.
- Hands-on experience designing and implementing ACLs, roles, and persona-based access controls within ServiceNow environments.
- Experience managing plugins, application scopes, dependencies, and activation sequences.
- Solid understanding of AI and agentic AI concepts, including AI agents, Large Language Models, AI skills, tool orchestration, and intelligent workflows.
- Experience with the Now Assist Skill Kit and/or Build Agent for developing custom AI skills and agents.
- Strong analytical and troubleshooting capabilities, particularly when working across complex enterprise platforms and multi-system integrations.
- Excellent communication and stakeholder-management skills.
- ServiceNow certifications such as Certified System Administrator, Certified Application Developer, or Certified Implementation Specialist are advantageous.
Responsibilities
- Design, configure, customize, and extend ServiceNow AI Control Tower capabilities to support enterprise-wide AI governance, security, and lifecycle management.
- Build and maintain custom AI agents, skills, flow actions, and subflows using the Now Assist Skill Kit, Build Agent, and related ServiceNow capabilities.
- Develop and maintain integrations with external AI and machine learning platforms, including AWS Bedrock, Azure AI Foundry, GCP Vertex AI, and Copilot Studio, using Service Graph Connectors and other integration technologies.
- Manage CMDB and CSDM data models to ensure AI assets are accurately represented, tracked, and maintained as configuration items.
- Implement appropriate ACLs, roles, and persona-based access controls to support secure AI platform operations.
- Collaborate with AI Stewards, risk and compliance professionals, security teams, and platform administrators to implement governance policies, risk assessments, and compliance requirements.
- Manage AI assets throughout their lifecycle, from initial intake and assessment through deployment, monitoring, and retirement.
- Develop clean, maintainable ServiceNow scripts and workflows using Business Rules, Script Includes, Client Scripts, Flow Designer, and IntegrationHub.
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