Primary record

AI Engineer - Quality

Celonis Indexed employerBangalore, India
Source-hosted applyChecked 1h agoVolunteer
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Workplace

hybrid

Employment

Volunteer

Published

Aug 18, 2026

Closes

No date supplied

The role

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:

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

Requirements

Department: Value Engineering