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AI Engineer - Quality

Celonis - Bangalore, KA, India - In-office - posted 2026-08-18

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Celonis is the global leader in Process Intelligence and Process Mining technology. The Sailfin Accounts Receivable (AR) team builds enterprise-grade AR products used by global customers, integrating deeply with Salesforce and Celonis platforms. You will join as an AI Engineer - Quality, a role that bridges quality engineering, AI-driven automation, and enterprise data integration. This position goes beyond traditional QA to architect next-generation intelligent automation and quality frameworks powered by LLMs and AI agents. Key responsibilities include: **Automation Architecture**: Design and build a scalable, modular automation framework from scratch using Playwright (JavaScript/TypeScript). Establish reusable utilities, reporting systems, abstraction layers, and extensible test modules that support the team's testing needs. **QA Strategy & Execution**: Own and drive comprehensive QA strategy across frontend/UI, backend/API, and data validation layers. Implement robust test coverage across end-to-end workflows and establish regression strategies and risk-based testing approaches. **Integration Quality**: Validate data integrity between Salesforce and Celonis, identify edge cases involving complex business logic, process mining models, and multi-step data transformations. Ensure consistency across pipelines, APIs, and event flows. **Performance Engineering**: Lead performance and load testing efforts using tools like k6 or JMeter. Ensure the integration performs reliably under large enterprise-scale data volumes. **AI-Driven Quality**: Leverage LLMs and AI tools to auto-generate test cases, summarize failures, enable root-cause analysis, and build intelligent test assistants. Drive the shift from manual testing to AI-first quality engineering. Required qualifications: 6+ years in technical QA roles on high-scale web applications. Strong hands-on experience with Playwright including async patterns, state management, debugging, and custom fixtures. Solid understanding of QA methodologies, regression strategies, risk-based testing, and CI/CD pipelines (GitHub Actions preferred). Strong knowledge of API testing, data validation, and automation best practices. Experience using LLM-powered QA tools and ability to use LLMs or Python scripts to automate repetitive quality tasks. Plus factors: Experience with Salesforce, Apex, or Salesforce data models; understanding of Celonis or other process mining/data transformation platforms; experience with performance testing tools.

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