# Associate Solution Consultant - Orbit Program

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

> Develops and prototypes AI-powered Process Intelligence solutions for strategic customers, presents business value, and supports implementations through adoption. The Orbit program targets STEM graduates or candidates with internships or 1–2 years of experience who are fluent in German and English.

## Job Description

## Responsibilities
- Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into innovative solutions.
- Rapidly build creative prototypes using AI technologies during customer hackathons.
- Help customers achieve ROI from AI deployments at scale by enabling autonomous AI agents through the Celonis Process Intelligence Platform.
- Execute business-critical Proof-of-Value projects end to end.
- Specialize in business domains or industries such as supply chain.
- Present and quantify strategic business value to senior executives.
- Remain involved 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 demos, understand value selling, and manage customer accounts.

## Requirements
- Degree in Engineering, Data Analytics or 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/context engineering, multi-agent orchestration, multimodal understanding, and 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, organized, and committed to continuous learning.
- Excellent communication skills and fluency in German and English.
- Foundational business acumen and domain understanding, such as supply-chain knowledge.

## 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 with LLM orchestration, RAG, function calling, and prompt engineering.
- Knowledge of 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 cases.
- Experience with SAP or Oracle ERP systems.

## Compensation & 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 and development through the 70-20-10 learning framework, mentorship programs, and dedicated learning resources.

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