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Senior Intelligent Automation Engineer-ServiceNow

General Mills

Senior Intelligent Automation Engineer-ServiceNow

full-timePosted: Aug 21, 2026Updated: Aug 29, 2026MH, Mumbai, Powai

Job Description

COMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​ OVERVIEWThe Digital and Technology team at General Mills India Centre is looking for a Senior D&T Intelligent Automation Engineer to contribute to the company’s global digital transformation agenda through intelligent automation delivery. This role is expected to design, develop, and operate scalable automation and AI-enabled automation solutions. This includes leveraging deterministic and probabilistic automation, low-code platforms, workflow technologies, and advanced agentic AI to create measurable value across our global operation.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 QUALIFICATIONSEducation: Bachelor’s degree Experience: 8+ years of total experience and a minimum of 4 years of relevant 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 QUALIFICATIONSUnderstanding 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. ELIGIBILITYApplicants must meet minimum age qualifications in the country in which the job is located.

Locations

  • MH, Mumbai, Powai
  • MH, Pune

Required Qualifications

  • Education: Bachelor’s degree (degree)
  • Experience: 8+ years of total experience and a minimum of 4 years of relevant experience. (experience, 8 years)

Preferred Qualifications

  • Understanding of: - (experience)
  • Other ServiceNow modules like CSM, ITSM, SAM. (experience)
  • Agentic AI, Gen AI, Python AI Libraries. (experience)
  • Cloud technologies like GCP/Azure/AWS. (experience)
  • DevOps and ML Ops. (experience)
  • Other ServiceNow modules like CSM, ITSM, SAM. (experience)
  • Agentic AI, Gen AI, Python AI Libraries. (experience)
  • Cloud technologies like GCP/Azure/AWS. (experience)
  • DevOps and ML Ops. (experience)

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