# Senior Applied Value Engineer

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Munich, Germany
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Python, API Design, SQL, PyTorch, TensorFlow, scikit-learn, Xgboost, Hugging Face, Llm Systems, RAG, AI Agents, Data Integration, Roi Modeling, Enterprise Architecture
**Posted:** 2026-09-10

> Leads strategic customer engagements by architecting and prototyping secure AI and LLM solutions, running Proof-of-Value projects, and driving adoption and measurable business value. Requires 5+ years in executive-facing presales or value engineering, strong software and data engineering skills, and native-level German.

## Job Description

## Responsibilities
- Lead technical discovery with strategic global accounts and translate customer requirements into enterprise architectures.
- Architect, prototype, and build tailored AI solutions for complex operational challenges on the Celonis platform.
- Lead end-to-end Proof-of-Value projects, delivering secure and scalable LLM and agent systems with advanced retrieval-augmented generation, tools, and guardrails.
- Integrate solutions with enterprise data, identity, security, and compliance frameworks.
- Advise strategic accounts through implementation, adoption, value realization, and operational transformation.
- Develop industry-specific, cross-system AI solutions and codify reusable methodologies and scalable assets.
- Mentor junior peers and present solution value to C-suite executives and other stakeholders.

## Requirements
- 5+ years of experience in executive-facing presales or value engineering, including technical ownership of complex sales and AI transformation initiatives.
- Proven experience executing Proof-of-Value projects, ROI/TCO modeling, visionary solution demonstrations, and driving projects through achieved business value.
- Deep knowledge of operational workflows and industry domains such as supply chain or finance.
- Python proficiency, modular API design, reusable library development, advanced SQL, and scalable data integration.
- Experience with ML/AI frameworks including PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
- Strong presentation, workshop facilitation, whiteboarding, and executive communication skills.
- Native-level or near-native German proficiency, written and spoken.
- Master’s degree in computer science, engineering, mathematics, or a related field preferred, or equivalent work experience.

## Benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Paid parental leave, flexible hybrid work, paid time off, learning and mentorship programs, wellness benefits, and paid volunteer time.

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