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Senior Applied Value Engineer - UKI Oil & Gas

Job Overview

Location

Bangalore, India

Job Type

Full-time

Category

Software Engineering

Date Posted

May 6, 2026

Full Job Description

đź“‹ Description

  • • As a Senior Applied Value Engineer in the UKI Oil & Gas team, you will drive business-critical AI and Process Intelligence solutions for strategic customers, turning data insights into measurable ROI by combining Celonis’ Process Intelligence Platform with leading AI technologies from Microsoft, OpenAI, and Databricks.
  • • Day to day, you will lead AI discovery and solutioning by understanding customer AI strategies and challenges, prototype innovative solutions in hackathons using cutting-edge AI, build end-to-end Proof-of-Value projects with secure, scalable LLM/agent systems, and ensure successful adoption and value realization through close engagement until agreed thresholds are met.
  • • You will join a global leader in Process Intelligence headquartered in Munich and New York, with over 20 offices worldwide, where innovation, ownership, and sustainability are core to the culture, and where you’ll specialize in domains like supply chain or finance to scale expertise across the organization.
  • • In this role, you will deepen your expertise in generative AI, agentic systems, and enterprise AI deployment, while developing strong business acumen and executive communication skills, positioning yourself as a trusted advisor who bridges technical innovation and business value at scale.

🎯 Requirements

  • • 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building ROI/TCO business cases, and prototyping machine learning and generative AI solutions.
  • • Understanding of generative AI techniques such as RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning for 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, formal readouts, and demos.
  • • Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics, or related fields 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: 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from day one.
  • • Work-Life Integration: Unlimited PTO (in applicable regions), generous global PTO, and a flexible hybrid work model.
  • • Continuous Growth: Access to a 70-20-10 learning framework, mentorship programs, and a dedicated learning platform.
  • • Holistic Well-being: Subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks.
  • • Drive Sustainability: Paid time off for annual Impact Days to volunteer for community and environmental causes.
  • • Global Inclusion & Belonging: Participation in Inclusion Think Tank and Inclusion Days to ensure every voice is heard and valued.

Skills & Technologies

Python
AWS
Azure
GCP
PyTorch
Senior
Remote
Degree Required

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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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