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. Location: Madrid. Customer base will be in across the EMEA region, with a focus on the DACH area, involving travel to meet clients in person. Role Description As an Applied AI Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. Launch Your Enterprise Software Career - Orbit Graduate program Kickstart your car
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Role overview
Job description
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. Location: Madrid for an onboarding period of 2 years and a possible relocation to Munich after. Customer base will be in Germany/DACH area, involving tr
…What they are looking for
Skills & requirements
Qualification
Launch Your Enterprise Software Career - Orbit Graduate program Kickstart your career in enterprise software through our immersive 12-month Orbit Program; During the Orbit Graduate program, you will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams; What You Need: Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field; Hands-on experience with technical Proof of Concept projects Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages
Department · Value Engineering
Hiring company
Celonis
We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.
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