Senior Intelligent Automation Engineer-ServiceNow

KEY ACCOUNTABILITIES

• Design, develop, and implement end-to-end automation solutions using ServiceNow, Power Platform, Machine Learning, and Agentic AI.
• Build and enhance ServiceNow applications, workflows, portals, workspaces, CRUD apps, and CSM solutions.
• Develop and manage secure integrations with enterprise systems such as SAP, GCP, and SQL using REST APIs.
• Provide technical leadership, resolve complex issues, and ensure platform stability and business continuity.
• Support, troubleshoot, modernize, and rationalize existing Power Platform solutions.
• Ensure adherence to development standards, governance, security, testing, and quality practices.
• Lead recruitment, training, coaching, and knowledge transfer within the automation team.
• Manage vendors, platform partners, project documentation, and delivery processes.
• Collaborate with stakeholders to translate business needs into scalable automation solutions.
• Identify continuous improvement opportunities and drive adoption of emerging automation technologies.
• Monitor solution performance and provide ongoing production support, incident resolution, and problem management.

MINIMUM QUALIFICATIONS

Education:

Experience:

Technical Skills:

• Expert in ServiceNow App-Engine Low Code/No Code development or Customer service Management experience.
• Client Side and Server-Side Scripting i.e. Catalog Client Script, Business Rules, Script Actions, Script Includes, and UI policies.
• Flow Designer, Actions and Sub-actions.
• ServiceNow Portal, Widgets, HTML, and CSS.
• Exposure to Microsoft Power Platform, including Power Automate flows and PowerApps, is required.
• JavaScript, JSON, XML, and REST APIs.
• Integration of ServiceNow with external systems like ERP, GCP, SAAS, and custom applications.
• System architecture, data, version control and security. 

PREFERRED QUALIFICATIONS

Understanding of: -

• Other ServiceNow modules like CSM, ITSM, SAM.
• Agentic AI, Gen AI, Python AI Libraries.
• Cloud technologies like GCP/Azure/AWS.
• DevOps and ML Ops