About the job
At Celonis, we are the global frontrunners in Process Intelligence technology and one of the fastest-growing SaaS companies worldwide. We envision a tremendous opportunity to enhance productivity by embedding AI, data, and intelligence into business processes, and we invite you to be a part of this journey.
Role Overview
- As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will engage with our strategic clients to comprehend their goals and challenges, pinpoint high-impact AI opportunities, and translate these into quantifiable business benefits. You will utilize Celonis solutions on the leading Process Intelligence (PI) platform, collaborating with major AI and ML technology partners like Microsoft, OpenAI, and Databricks. By integrating operational context into AI, we empower our clients to scale AI effectively, yielding substantial ROI. Your role involves prototyping solutions, showcasing their value to executives, and ensuring successful implementation and adoption to expand Celonis’s impact within their organizations.
This role is tailored for those who thrive on direct customer engagement and enjoy converting complex business challenges into actionable AI solutions. The emphasis is on problem identification, solution design, and business impact rather than just software engineering. While prototyping is a key aspect, the ultimate goal is to deliver significant value to our clients.
Key Responsibilities:
- Identify High-Impact AI Opportunities: Collaborate with enterprise customers to uncover their strategic priorities and operational challenges, determining how AI can generate measurable business value.
- Design AI-Powered Solutions: Convert intricate business problems into scalable AI solution architectures that leverage the Celonis Process Intelligence platform alongside contemporary AI technologies.
- Prototype & Demonstrate Value: Swiftly develop prototypes and proof-of-value solutions that illustrate tangible results to both business and technical stakeholders.
- Lead AI Innovation with Customers: Conduct workshops, hackathons, and innovation sessions with clients to explore novel AI applications.

