Senior Applied Value Engineer - Cmt/cpgr

Celonis Celonis · Data AI · Please Update Field · Value Engineering

This role focuses on building and prototyping AI solutions for enterprise customers using Celonis' Process Intelligence Platform and leading AI technologies. The engineer will work with strategic clients to understand their challenges, translate requirements into innovative solutions, and ensure successful implementation and value realization, with a strong emphasis on agentic systems and RAG.

What you'd actually do

  1. AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
  2. Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
  3. Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
  4. Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
  5. Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • RAG
  • prompt engineering
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning
  • business process understanding
  • enterprise data integration
  • identity and compliance frameworks

Nice to have

  • agentic systems
  • LLM orchestration
  • function calling
  • rigorous evaluations
  • guardrails
  • LangChain
  • LlamaIndex
  • deploying and monitoring models at scale
  • AWS Bedrock
  • Azure AI
  • GCP Vertex

What the JD emphasized

  • building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners
  • industrialize AI unlocking real ROI on AI deployments and at scale
  • There is no AI without PI
  • AI Discovery & Solutioning
  • Agentic Process Transformation
  • autonomous AI agents
  • Proof projects
  • deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails
  • integrating with enterprise data, identity, and compliance frameworks
  • 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.

Other signals

  • industrialize AI
  • unlocking real ROI on AI deployments and at scale
  • agentic process transformation
  • autonomous AI agents