# Senior Applied Value Engineer - CMT/CPGR

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Bengaluru, India
**Role:** Solutions Architecture
**Experience:** 6+ years
**Skills:** Python, RAG, Prompt Engineering, LangChain, Llamaindex, pandas, Pydantic, scikit-learn, PyTorch, Llm Orchestration, Multi-Agent Systems, Aws Bedrock, Azure Ai, Google Cloud Vertex Ai, Databricks
**Posted:** 2026-08-11

> Leads technical pre-sales and delivers AI-powered process solutions for strategic customers, from discovery and prototyping through proof-of-value, implementation, adoption, and ROI realization. Requires 6+ years of technical pre-sales experience, strong generative AI expertise, Python and ML knowledge, and executive presentation skills.

## Job Description

## Responsibilities

- Understand customers’ AI strategies and business-critical challenges; translate requirements into innovative Celonis solutions.
- Lead customer hackathons and rapidly build prototypes using AI technologies.
- Enable agentic process transformation and help customers achieve measurable ROI from AI deployments at scale.
- Execute business-critical Proof-of-Value projects end to end, including architecture and delivery of secure, scalable LLM and agent systems with retrieval-augmented generation (RAG), tools, and guardrails.
- Integrate solutions with enterprise data, identity, and compliance frameworks.
- Remain involved through implementation, adoption, and value realization until agreed outcomes are achieved.
- Develop specialization in business domains or industries, such as supply chain or finance.

## Requirements

- 6+ years of experience leading technical pre-sales, including AI roadmaps, ROI/TCO business cases, and machine learning or generative AI prototypes.
- Understanding of generative AI techniques including RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
- Understanding of business processes across sectors and the ability to translate business needs into specific AI use cases.
- Knowledge of Python, common machine learning libraries, and data engineering tools and technologies.
- Strong presentation skills for internal and external stakeholders, including executives.
- Bachelor’s degree required. A master’s degree in computer science, engineering, mathematics, or a related field is preferred, or equivalent work experience.

## Nice to Have

- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with evaluations and guardrails for safety.
- Experience with LangChain, LlamaIndex, or other open-source LLM ecosystem packages.
- Experience deploying and monitoring models at scale on AWS Bedrock, Azure AI, or Google Cloud Vertex AI.

## Compensation and Benefits

- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Paid parental leave, including 24 weeks for primary carers and 12 weeks for supporting carers.
- Flexible hybrid work model and paid time off.
- Learning, mentorship, and professional development programs.
- Wellbeing benefits including subsidized Wellhub memberships and mental health counseling.
- Paid volunteer time through annual Impact Days.

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