# Associate Applied Value Engineer

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Madrid, Spain, Tokyo, Japan
**Role:** Solutions Architecture
**Experience:** 0+ years
**Skills:** Python, SQL, Pql, LangChain, pandas, Pydantic, scikit-learn, PyTorch, RAG, Prompt Engineering, Multi-Agent Orchestration, Function Calling, Llamaindex, SAP, Oracle
**Posted:** 2026-09-09

> Early-career value engineering role combining AI solution prototyping, customer discovery, Proof-of-Value delivery, and executive value presentations. Requires a STEM degree, Python and machine-learning knowledge, generative AI familiarity, and fluency in Japanese and English.

## Job Description

## Responsibilities
- Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into solutions using Celonis Process Intelligence.
- Build and code solutions and prototypes using SQL, PQL, Python, AI, and machine-learning technologies.
- Participate in customer hackathons and rapidly prototype solutions for complex business problems.
- Support agentic process transformation and help customers achieve measurable ROI from AI deployments at scale.
- Execute end-to-end Proof-of-Value projects aligned with customer AI strategies.
- Develop domain or industry expertise, 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.
- Manage customer accounts and develop trusted customer relationships.

## 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 retrieval-augmented generation, 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.
- Excellent analytical, creative problem-solving, communication, presentation, and organizational skills.
- Customer-centric mindset and foundational business acumen.
- Fluency in Japanese and English.
- Proactive approach, curiosity, self-motivation, commitment to continuous learning, and ability to work in a fast-paced environment.

## Nice to Have
- Combined technical and business education.
- Customer-facing, customer success, service, or sales experience.
- Technical Proof-of-Concept experience.
- Experience building agentic systems with LLM orchestration, RAG, function calling, and prompt engineering.
- Experience with LangChain, LlamaIndex, or other open-source LLM 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 and Benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Flexible hybrid work model.
- Paid parental leave, paid time off, mentorship, and learning programs.

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