# Associate Applied Value Engineer - Orbit Program

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Munich, Germany, Madrid, Spain
**Role:** Solutions Architecture
**Experience:** 0+ years
**Skills:** Python, SQL, Pql, RAG, Prompt Engineering, LangChain, pandas, Pydantic, scikit-learn, PyTorch, Llamaindex, Function Calling, Multi-Agent Orchestration, SAP, Oracle
**Posted:** 2026-07-28

> The role develops and prototypes AI-powered Celonis solutions, executes customer Proof-of-Value projects, and demonstrates measurable business impact to executives. It targets early-career candidates with a STEM degree, generative AI and Python knowledge, strong communication skills, and fluency in German and English.

## Job Description

## Responsibilities
- Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into innovative Celonis solutions.
- Rapidly build creative AI prototypes during customer hackathons.
- Support customers in achieving measurable ROI from AI deployments at scale, including autonomous AI agents powered by the Celonis Process Intelligence Platform.
- Execute business-critical Proof-of-Value projects end to end and align solutions with customers’ AI strategies.
- Develop expertise in selected business domains or industries, such as supply chain.
- Present and quantify strategic business value to senior executives.
- Remain involved through project completion until agreed value and adoption thresholds are reached.
- Create reusable collateral, best practices, and tools for the Global Value Engineering Center of Excellence.
- Build and code within the Celonis platform using SQL, PQL, and Python.
- Scope business and technical requirements, handle objections, deliver presentations and demos, understand value selling and realization, and manage customer accounts.

## Requirements
- Degree in Engineering, Data Analytics, Data Science, Computer Science, Mathematics, or a related STEM field.
- Excellent academic performance.
- Extensive internship experience or 1–2 years of full-time work experience, ideally at the intersection of business and technology.
- Understanding of generative AI techniques including RAG, few-shot learning, prompt and context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
- Good knowledge of Python, common machine-learning libraries, and data-engineering tools and technologies.
- Excellent analytical and creative problem-solving skills.
- Customer-centric mindset and confidence presenting to diverse audiences.
- Proactive, curious, self-motivated, and committed to continuous learning.
- Strong organizational and communication skills.
- Fluency in German and English; Italian is a strong plus.
- Foundational business acumen and domain understanding, such as supply chain.

## Nice-to-haves
- Combined technical and business education.
- Customer-facing, customer success, service, or sales experience.
- Experience with technical Proof-of-Concept projects.
- Experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering.
- Experience with LangChain, LlamaIndex, or other open-source LLM ecosystem packages.
- Supply chain process experience, including procurement, order management, inventory management, or production.
- Experience modeling ROI and TCO for business-case justification.
- Experience with SAP or Oracle ERP systems.

## Compensation and benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers.
- Unlimited PTO in applicable regions and generous PTO globally.
- Flexible hybrid work model.
- Learning framework, mentorship programs, and dedicated development opportunities.

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