AI Engineer - Quality

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: You will join the Sailfin Accounts Receivable (AR) Team , a product engineering team within the Finance & Accounting domain. We build and maintain an enterprise-grade AR product used by global customers. The team works with modern engineering practices, AI/ML capabilities, automation, and deep integrations across platforms such as Salesforce, Celonis, and other enterprise systems. This role sits at the intersection of Quality Engineering + AI-driven automation + enterprise data integration . The Role: (#LI-SR1) We are looking for an AI Engineer – Quality who can build next-generation intelligent automation and quality frameworks. This role goes beyond traditional QA—it combines strong automation engineering, enterprise integration understanding, and AI-assisted quality improvement. You will architect automation frameworks, drive end-to-end quality strategy, and build smart testing capabilities powered by LLMs and AI agents. Most importantly, you will test the bridge between the world’s #1 CRM (Salesforce) and the world’s #1 Process Mining platform (Celonis) —a complex, data-heavy integration that powers enterprise decision-making. The work you’ll do: Architect the Automation Foundation Design, build, and maintain a scalable, modular automation framework from scratch using Playwright (JavaScript/TypeScript) . Establish reusable utilities, reporting systems, abstraction layers, and extensible test modules. Drive Full QA Strategy Own and execute QA strategy across: Frontend/UI Backend/API Data validation Implement robust test coverage across the end-to-end workflow. Integration Quality Specialist Validate data integrity between Salesforce and Celonis . Identify edge cases involving: complex business logic process mining models multi-step data transformations Ensure consistency across pipelines, APIs, and event flows. Performance & Load Testing Lead performance engineering efforts using tools like k6 or JMeter . Ensure the integration performs reliably under large enterprise-scale data volumes . AI-Driven Quality Engineering Leverage LLMs and AI tools to: auto-generate test cases summarize failures enable root-cause analysis build intelligent test assistants Support the shift from manual testing to AI-first Quality Engineering . The qualifications you need: 6 years of experience in technical QA roles on high-scale web applications. Strong hands-on experience with Playwright (async patterns, state management, debugging, custom fixtures). Solid understanding of: QA methodologies regression strategies risk-based testing CI/CD pipelines (GitHub Actions preferred) Strong knowledge of API testing , data validation, and automation best practices. AI / LLM Skills Experience using LLM-powered QA tools (Copilot, Codeium, test generators). Ability to use LLMs or Python scripts to automate repetitive quality tasks. Plus Factors (Big Advantage) Experience working with Salesforce , Apex, or Salesforce data models. Understanding of Celonis or other process mining / data transformation platforms. Experience with performance te