Senior Applied Value Engineer - Uki Oil & Gas

Celonis Celonis · Data AI · Bangalore, India · Value Engineering

This role focuses on applying AI and Process Intelligence to solve business problems for enterprise customers, specifically in the Oil & Gas sector in the UKI. The Senior Applied Value Engineer will understand customer AI strategies, prototype solutions using AI/ML technologies (like OpenAI, Databricks), build agentic systems with RAG and tools, and ensure value realization. The role involves technical pre-sales, solutioning, hackathons, and proof-of-value projects, integrating AI with Celonis' Process Intelligence platform to industrialize AI deployments and unlock ROI.

What you'd actually do

  1. 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
  2. Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
  3. 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
  4. Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
  5. Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • RAG
  • few shot learning
  • prompt engineering
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning
  • LLM orchestration
  • function calling
  • evaluations
  • guardrails
  • enterprise data integration
  • identity integration
  • compliance frameworks

Nice to have

  • LlamaIndex
  • deploying and monitoring models at scale
  • AWS Bedrock
  • Azure AI
  • GCP Vertex

What the JD emphasized

  • 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
  • industrialize AI unlocking real ROI on AI deployments and at scale
  • enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents
  • deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails
  • 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.
  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.

Other signals

  • industrialize AI unlocking real ROI on AI deployments and at scale
  • enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents
  • deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails