About the job
Join Celonis, a pioneering leader in Process Intelligence technology and one of the fastest growing SaaS companies globally. We are dedicated to transforming productivity by integrating AI, data, and intelligence into business processes, and we are looking for talented individuals like you to help us achieve this vision.
Role Overview
- As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will collaborate closely with our premier clients to grasp their goals and critical challenges, pinpoint high-impact AI opportunities, and convert them into quantifiable business value. You will leverage Celonis’ cutting-edge Process Intelligence platform alongside leading AI and ML partners such as Microsoft, OpenAI, and Databricks. By embedding operational context into AI, we empower our clients to harness AI effectively, maximizing ROI on AI implementations. Your mission will involve prototyping these solutions, showcasing their benefits to executives, and ensuring successful deployment, user adoption, and value realization to expand Celonis’ presence within these organizations.
This role is perfect for those who thrive in customer-facing positions and excel at transforming intricate business challenges into actionable AI solutions. The emphasis is on problem framing, solution design, and business impact rather than pure software engineering. While prototyping AI solutions is a part of the job, the primary objective is to deliver substantial value to our clients.
Key Responsibilities:
- Identify High-Impact AI Opportunities: Collaborate with enterprise customers to comprehend their strategic objectives and operational hurdles, discovering where AI can yield measurable business advantages.
- Design AI-Powered Solutions: Convert complex business issues into scalable AI solution architectures that integrate the Celonis Process Intelligence platform with contemporary AI technologies.
- Prototype & Demonstrate Value: Swiftly create prototypes and proof-of-value solutions that clearly exhibit tangible outcomes to both business and technical stakeholders.
- Lead AI Innovation with Customers: Organize workshops, hackathons, and innovation sessions with customers to uncover new avenues for AI transformation.

