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Celonis is the global leader in Process Intelligence and Process Mining technology. As a Senior Applied Value Engineer, you will work with the company's most strategic customers to solve mission-critical business problems using Celonis' Process Intelligence Platform combined with cutting-edge AI and ML technologies from partners like Microsoft, OpenAI, and Databricks.
You will lead AI discovery and solutioning efforts, understanding customer AI strategies and translating business requirements into innovative solutions. Key responsibilities include conducting customer hackathons and rapid prototyping of AI solutions, supporting customers in achieving ROI from AI deployments at scale, and executing end-to-end proof-of-value projects that deliver secure, scalable LLM and agent systems with RAG, tools, and guardrails integrated into enterprise data and compliance frameworks.
You will specialize in specific domains (such as supply chain or finance) and industries, staying involved with projects until agreed value and adoption thresholds are reached. This role requires deep technical expertise in generative AI techniques, business process understanding across sectors, and the ability to present compelling ROI cases and technical demonstrations to executives and stakeholders.
Required qualifications include 6+ years of experience leading technical pre-sales with AI/ML solution prototyping, strong understanding of generative AI techniques (RAG, prompt engineering, multi-agent orchestration), knowledge of business processes in supply chain or finance, proficiency in Python and ML libraries (LangChain, pandas, sklearn, PyTorch), and strong presentation skills. A Bachelor's degree is required; a Master's in computer science, engineering, mathematics, or related field is preferred.
Nice-to-have skills include hands-on experience building agentic systems, working knowledge of LLM ecosystem tools, and experience deploying and monitoring models at scale on AWS Bedrock, Azure AI, or GCP Vertex.
