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Job Description
Structured overview of role & requirementsAbout This Role
Lead AI solutioning for strategic customers by understanding business challenges and building Celonis Process Intelligence platform-based AI prototypes with partners like Microsoft and OpenAI.
Drive end-to-end Proof-of-Value projects, delivering secure, scalable LLM/agent systems integrating enterprise data and compliance frameworks to realize measurable AI ROI.
Collaborate with customers until value and adoption targets are met, specializing in domains such as supply chain or industry sectors like Energy and Utilities.
Minimum Requirements
9+ years of experience in technical pre-sales including AI roadmap definition, ROI/TCO business case building, and prototype development for machine learning and generative AI solutions.
Experience specifically in Energy, Oil & Gas, or Utility sectors.
Bachelor’s degree required; Master’s in computer science, engineering, mathematics or related field preferred or equivalent experience.
Proficient in Python and ML libraries (LangChain, pandas, sklearn, PyTorch), with knowledge of generative AI methods such as RAG, prompt engineering, and multi-agent orchestration.
Ideal Candidate Profile
Hands-on ability to design and deploy agentic AI systems using advanced LLM orchestration, RAG, and prompt engineering with safety guardrails.
Experience operating in customer-facing technical leadership roles within strategic, complex AI projects focusing on business impact.
Domain expertise to translate high-level business objectives into AI use cases, especially in supply chain or finance and in Energy/Utility sectors.