Lead Applied Value Engineer
Core
Senior Applied Value Engineer building AI solutions using Celonis Process Intelligence to help strategic customers industrialize AI and achieve ROI.
Role type
Senior Applied Value Engineer (EAM)
Builds
Secure, scalable LLM/agent systems with RAG, tools, and guardrails for enterprise data integration.
Domain
Enterprise AI, Process Intelligence, Generative AI
Deliverable
production ML models
Required skills
AI roadmap definition, ROI/TCO business case building, generative AI techniques (RAG, few-shot learning, prompt engineering, multi-agent orchestration), business process translation, Python, ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch), data engineering tools
Preferred skills
Agentic system building, LLM ecosystem tools (LlamaIndex), model deployment/monitoring on cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
Technologies
Celonis Process Intelligence Platform, Microsoft, OpenAI, Databricks, LangChain, pandas, pydantic, sklearn, PyTorch, AWS Bedrock, Azure AI, GCP Vertex
Responsibilities
Understand customer AI strategy and challenges, prototype solutions in hackathons, execute end-to-end Proof-of-Value projects, ensure successful project adoption and value realization, specialize in specific domains or industries
Seniority
Senior, hands-on IC