Celonis SE logo

Applied Value Engineer

Job Overview

Location

Bangalore, India

Job Type

Full-time

Category

Other Engineering

Date Posted

May 6, 2026

Full Job Description

đź“‹ Description

  • • As an Applied Value Engineer at Celonis, you will push the envelope in solving business-critical problems for strategic customers by leveraging the world’s leading Process Intelligence platform combined with AI and ML technologies from partners like Microsoft, OpenAI, and Databricks to turn data insights into immediate business action.
  • • Day to day, you will understand customer AI strategy and challenges, prototype innovative solutions in hackathons, build secure and scalable LLM/agent systems with RAG and guardrails, and ensure successful implementation, adoption, and value realization of AI deployments at scale.
  • • You will join a global leader in Process Intelligence and pioneer of Process Mining technology, working with a mission-driven team focused on unlocking global productivity and sustainability by placing intelligence at the core of every business process.
  • • In this role, you will specialize in domains or industries such as supply chain, develop expertise in agentic process transformation, and drive real ROI from AI deployments while growing your technical and consulting impact across enterprise customers.

🎯 Requirements

  • • 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases, and prototyping machine learning and generative AI solutions.
  • • Experience in the Oil & Gas industry is required.
  • • Understanding of generative AI techniques such as RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning to build high-impact use cases like intelligent chatbots and automated text processors.
  • • Good knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
  • • Strong presentation skills to internal and external stakeholders, including executives, in whiteboarding sessions or formal readouts and demos.
  • • Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

🏖️ Benefits

  • • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
  • • Ownership from Day 1: Receive Restricted Stock Units (RSUs) and merit-based refresh grants as a full-time Celonaut.
  • • Unrivaled Family Support: Benefit from 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from day one.
  • • Work-Life Integration: Enjoy Unlimited PTO (in applicable regions), generous global PTO, and a flexible hybrid work model.
  • • Continuous Growth: Elevate your skills through the 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
  • • Holistic Well-being: Access subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks.
  • • Drive Sustainability: Participate in annual Impact Days with paid time off to volunteer for community and environmental causes.
  • • Global Inclusion & Belonging: Engage with the Inclusion Think Tank and annual Inclusion Days to ensure every voice is heard and valued.

Skills & Technologies

Python
AWS
Azure
GCP
PyTorch
Remote
Degree Required

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Celonis SE
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About Celonis SE

Celonis SE offers a process mining platform that extracts data from enterprise systems such as SAP, Oracle, and Salesforce to visualize, analyze, and optimize business processes in real time. Its Execution Management System applies machine learning and automation to reveal inefficiencies, reduce costs, and improve compliance across finance, supply chain, customer service, and IT operations. Founded in 2011 and headquartered in Munich, Germany, the company serves Fortune 500 organizations worldwide through cloud and on-premise deployments.

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