# Associate Solution Consultant

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Bengaluru, India
**Role:** Solutions Architecture
**Experience:** 0+ years
**Skills:** Python, SQL, Pql, RAG, Prompt Engineering, LangChain, pandas, Pydantic, scikit-learn, PyTorch, Llamaindex, Multi-Agent Orchestration, Function Calling, SAP, Oracle
**Posted:** 2026-09-04

> The Associate AI Solution Consultant supports customers by designing, prototyping, and delivering AI solutions on the Celonis Process Intelligence platform. The role suits STEM graduates with Python and machine-learning knowledge, strong communication skills, and internship or early-career experience.

## Job Description

## Responsibilities
- Discover and solution business-critical AI use cases for customers, translating requirements into innovative Celonis solutions.
- Build and code on the Celonis Process Intelligence platform using SQL, PQL, and Python.
- Rapidly prototype solutions during customer hackathons using generative AI technologies.
- Help customers transition from rule-based automation to autonomous AI-agent-enabled process transformation.
- Execute end-to-end Proof-of-Value projects aligned with customer AI strategies.
- Develop expertise in specific business domains or industries, such as supply chain.
- Present and quantify strategic business value to senior executives.
- Remain involved through project adoption and agreed value-realization thresholds.
- Create reusable collateral, best practices, and tools for the Value Engineering Center of Excellence.
- Manage customer accounts and collaborate with local field teams.

## Requirements
- Degree in engineering, data analytics or science, computer science, mathematics, or a related STEM field.
- Excellent English communication and presentation skills.
- Extensive internship experience or 1–2 years of full-time work experience.
- Excellent academic performance.
- Understanding of generative AI techniques, including RAG, few-shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
- Good knowledge of Python and common machine-learning libraries such as LangChain, pandas, Pydantic, scikit-learn, and PyTorch.
- Familiarity with data-engineering tools and technologies.
- Strong analytical, creative problem-solving, customer-centricity, organizational, and prioritization skills.
- Foundational business acumen and domain understanding, such as supply chain.
- Curiosity, self-motivation, continuous-learning mindset, and willingness to work in a fast-paced environment.

## Nice to Have
- Combined technical and business education.
- Customer-facing, customer success, service, or sales experience.
- Hands-on technical proof-of-concept experience.
- Experience building agentic systems with LLM orchestration, RAG, function calling, or prompt engineering.
- Familiarity with LangChain, LlamaIndex, or other open-source LLM packages.
- Supply chain process experience in 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.
- Paid parental leave: 24 weeks for primary carers and 12 weeks for supporting carers.
- Unlimited PTO in applicable regions and generous PTO globally.

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