AI Solutions Engineer

Zuora
Chennai, Tamil Nadu, IndiaPosted 19 March 2026

Job Description

Company Overview At Zuora, we do Modern Business . We’re helping people subscribe to new ways of doing business that are better for people, companies, and, ultimately, the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships, and optimize their digital experiences. The Team Role Our Corporate Operation team is Zuora's internal technology organization, responsible for creating technology experiences that connect our teams, drive business alignment and build a stronger, more collaborative workplace.” With a cloud-first approach, we empower our global ZEOs with increased productivity and self-service to enable company growth, scale, and flexibility while hardening our security and compliance posture. The Digital Workplace team is responsible for all of our technology systems providing solutions for Zuora employees including internal Accounting, Procurement, Legal, and Human Resources departments. As an AI Solutions Engineer on the team, you'll have the opportunity to: Deploy AI-Powered Tools: Roll out and fine-tune AI solutions that embed intelligence into everyday workflows (e.g. configuring enterprise search assistant and AI service agents) to improve how employees find information and resolve requests. You will provide end-to-end implementation for emerging solutions to full deployment and adoption. Build Optimize AI Agents: Use agent builder frameworks to create custom AI agents that help various internal teams. This includes designing, testing, and refining prompts to ensure our AI assistants (chatbots, search agents, etc.) provide accurate, context-aware responses. You’ll apply prompt engineering techniques to continuously improve agent performance and reduce errors. Improve Internal Workflows: Collaborate with cross-functional teams to identify high-impact opportunities for AI automation.. You’ll work with stakeholders in Corporate Operations, HR, Finance and customer facing teams to map out processes that can be enhanced by AI (from workflow automation to decision support), then prototype and implement solutions that address those needs. Integrate Systems Data: Connect AI platforms with our internal tools and data sources. You’ll manage configurations, API integrations, and data pipelines to ensure the AI solutions have the information they need.. For example, you might integrate our knowledge bases or ticketing data so that the AI agents can access up-to-date company information when answering questions. Enable Support Users: Serve as an internal champion for these AI tools. You will create clear documentation and conduct training sessions and demos to help employees get the most out of new AI features. Part of your job is to gather user feedback and monitor usage metrics, using those insights to iterate on prompts/configurations for continuous improvement. You’ll ensure a smooth adoption and drive ongoing enhancements so that the AI solutions continue to deliver value. What you’ll do The business outcomes you will impact include (but are not limited to): Improvement of Current Systems: Gather metrics on the performance and effectiveness of the current product. Continuously fine-tune retrain models to ensure the systems remain efficient. New Product Feature Development: Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features. Lead the design and development of innovative solutions that align with market demands and customer needs. Best Practices and Governance: Establish and document best practices for training, evaluating, and operating machine learning and AI models. Promote a cultu ... (truncated, view full listing at source)
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