Sr. D&t Intelligent Automation Engineer

Position Title Senior Process Automation Engineer Function Group Digital Technology Location India Shift Timing General US Role Reports to D T Manager - Process Automation Remote Hybrid in-Office Hybrid ABOUT GENERAL MILLS We make food the world loves 100 brands In 100 countries Across six continents With iconic brands like Cheerios Pillsbury Betty Crocker Nature Valley and Haagen-Dazs we ve been serving up food the world loves for 155 years and counting Each of our brands has a unique story to tell How we make our food is as important as the food we make Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good For more details check out US General Mills India Center GIC is our global capability center in Mumbai that works as an extension of our global organization delivering business value service excellence and growth while standing for good for our planet and people With our team of 1800 professionals we deliver superior value across the areas of Supply chain SC Digital Technology D T Innovation Technology Quality ITQ Consumer and Market Intelligence CMI Sales Strategy Intelligence SSI Global Shared Services GSS Finance Shared Services FSS and Human Resources Shared Services HRSS For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow JOB OVERVIEW Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization Collaborating closely with global business teams the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption The team s expertise spans a wide range of areas including AI ML Data Science IoT NLP Cloud Infrastructure RPA and Automation Digital Transformation Cyber Security Blockchain SAP S4 HANA and Enterprise Architecture The MillsWorks initiative embodies an agile scale delivery model where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company Employees working on significant technology projects are recognized as Digital Transformation change agents The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities In fostering an inclusive culture the team values individuals passionate about learning and growing with technology exemplified by the Work with Heart philosophy emphasizing results over facetime Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through a provided Purpose of the role The Digital and Technology team of General Mills India Centre is looking for a passionate and enthusiastic individual to contribute to the Global Digital Transformation initiative at General Mills in capacity of a Senior Process Automation Engineer This role will report into the Manager of the General Mills Process Automation Talent Acceleration Center TAC and functionally collaborate with our Global Process Automation Team In this technical role the Senior Process Automation Engineer will help drive the success of digital transformation and automation efforts at General Mills by leading designing and delivering innovative solutions leveraging multiple process automation technologies such as Automation Anywhere A360 RPA ServiceNow App-Engine Low Code Workflow and Winshuttle for SAP KEY ACCOUNTABILITIES An associate in an Intelligent Automation team focusing on building automation solutions using Automation Anywhere A360 and integrating AI with Machine Learning and Agentic AI capabilities would typically have the following key accountabilities incorporating the responsibilities you ve outlined 1 RPA Solution Design and Development Automation Anywhere A360 o Design develop and implement robust Unattended and Attended Bot automation and orchestration solutions leveraging the Automation Anywhere A360 Framework o Automate repetitive and rule-based processes efficiently using UI Actions Data Scraping and other A360 capabilities o Ensure developed bots adhere to best practices security standards and performance requirements 2 System Integration o Create and manage complex bot integrations with various enterprise systems and platforms including GCP SAP Citrix Excel Exchange SharePoint Evolve and REST APIs o Ensure seamless and secure data exchange and process orchestration across integrated systems 3 AI Integration Machine Learning Agentic AI o Identify opportunities and implement strategies to embed Machine Learning models and Agentic AI capabilities within RPA workflows to enhance automation intelligence decision-making and predictive analytics o Collaborate with AI ML specialists to integrate AI components ensuring they augment and optimize automated processes o Building complex customer agentic ai systems o Use AI ecosystem and intelligent automation architecture to own end to end Intelligent Automation capabilities 4 Technical Leadership and Complex Issue Resolution o Serve as the main point of contact for the team to address and resolve complex technical issues preventing business interruptions and ensuring operational continuity o Provide expert guidance and troubleshooting for automation solutions 5 Project Delivery and Stakeholder Coordination o Manage project documentation and oversee the complete delivery processes for global automation solutions o Coordinate effectively with stakeholders across various technologies and business functions to ensure successful project execution and alignment with business objectives 6 Platform Management and Governance o Manage the automation platforms infrastructure security and modernization efforts specifically for Automation Anywhere A360 and related components o Establish and enforce standards and processes for the Talent Acceleration Center ensuring consistency and quality in automation development and deployment 7 Team Development and Mentorship o Lead recruitment and training initiatives for the automation team fostering skill development and knowledge transfer o Provide coaching mentorship and constructive feedback reviewing the work of colleagues to ensure high-quality deliverables and continuous improvement 8 Vendor and Partner Management o Act as the primary point of contact for external vendors and platform partners managing relationships and ensuring effective collaboration and support 9 Research Innovation and Strategic Influence o Dedicate time to researching the latest automation technology stack including advancements in RPA Machine Learning and Agentic AI o Influence technology and business stakeholders to adopt relevant and innovative automation solutions that drive efficiency and strategic value MINIMUM QUALIFICATIONS Bachelor s degree with 8 years of experience and a minimum of 4 years of relevant experience Expert in Automation Anywhere A360 Framework Bot user interface automations recorders logging alerting reporting debugging and troubleshooting A360 Control Room management - Users Roles Devices Bots scheduling deployment and server logs Meta bots and Reusable logic components Bot integrations with GCP SAP Citrix Excel Exchange SharePoint Evolve and REST APIs Dot Net JavaScript JSON XML VBScript Python MS SQL Server and Macros System architecture data version control and security PREFERRED QUALIFICATIONS Understanding of - Other A360 modules like AI Agent Studio Automation Co-Pilot Automator AI Document Automation Process Discovery OCR - Optical Character Recognition Intelligent Document Extraction A360 Document Automation and Google Vertex AI Agentic AI Gen AI Python AI Libraries Cloud technologies like GCP Azure AWS DevOps and ML Ops