Senior Applied Value Engineer - UKI Oil & Gas

Celonis; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Inclusive environment

Diversity celebration

Job summary

Celonis in Bengaluru is looking for a Senior Applied Value Engineer to solve business-critical problems using their Process Intelligence platform. You will work with strategic customers, prototyping solutions, ensuring implementation and value realization.

The role requires expertise in technical pre-sales and generative AI techniques, alongside strong presentation skills. A Bachelor’s degree is required, and a Master’s is preferred. Join Celonis to be part of an innovative team focused on driving significant ROI through AI.

Qualifications

• 6+ years of experience leading technical pre-sales and defining AI roadmaps.
• Good knowledge of Python and common ML libraries.
• Strong presentation skills to stakeholders.

Responsibilities

• Understand customers' AI strategy and critical challenges.
• Rapidly build creative prototypes in customer hackathons.
• Support customers in achieving ROI from AI deployments.

Skills

Technical pre-sales leadership

Generative AI techniques

Python programming

Presentation skills

Education

Bachelor's Degree

Master's Degree in computer science, engineering, or related fields

Tools

LangChain

PyTorch

AWS

Azure AI

GCP Vertex

Job description

Job Description

Role Description

As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI, unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities

• AI Discovery Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product domain expert, find the best problem‑solution fit and translate customer requirements into innovative solutions that move the needle.
• Hackathon Prototyping: Think out of the box, have a can‑do attitude and do not shy away from complex problems. Leverage cutting‑edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems.
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift in business operations from traditional, rule‑based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform.
• Proof Projects: End‑to‑end execution of business‑critical Proof‑of‑Value projects, including architecture and delivery of secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Senior Applied Value Engineer stays involved with projects until agreed value adoption thresholds are reached.
• Specialize in Domains or Industries: To scale knowledge across the organization, Senior Applied Value Engineer specializes in domains (e.g., supply chain) and industries.

Requirements

• 6+ years of experience leading technical pre‑sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few‑shot learning, prompt engineering, multi‑agent orchestration, multimodal understanding, or fine‑tuning that are used to build high‑impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as supply chain or finance) with the ability to translate high‑level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether white‑boarding 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.

Nice to Have (Big Plus)

• Hands‑on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Equal Opportunity

Celonis is an equal‑opportunity employer. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.