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Celonis

Process intelligence platform for end-to-end efficiency

Lead Applied Value Engineer - AI & Process Intelligence Consultant

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in United Arab Emirates

About the Job

Requirements

  • At least 7 years of executive-facing presales and value-engineering experience, including independently owning technical close, executing proof-of-value projects, ROI/TCO modeling, presenting AI transformation narratives, and driving projects through value realization.
  • Comprehensive knowledge of operational workflows and industry landscapes, such as supply chain and finance, and the ability to connect systemic bottlenecks to strategic AI solutions for C-suite executives.
  • Advanced expertise in LLM orchestration, tool use and function calling, retrieval-augmented generation (RAG), agents, prompt engineering, and agentic patterns for enterprise workflows.
  • Practical expert-level application of linear and nonlinear optimization, statistical analysis, reinforcement learning, and predictive forecasting.
  • Experience designing production-grade AI deployment architectures and reliability standards across AWS Bedrock, Azure AI, and GCP Vertex AI.
  • Python proficiency, modular API design, reusable library development, advanced SQL, and scalable data integration using PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
  • Ability to architect secure enterprise cloud environments and adhere to identity and access management protocols, data governance frameworks, global privacy laws, and security standards.
  • Strong presentation skills for internal and external stakeholders, including executives, and the ability to lead whiteboarding sessions, formal readouts, and demos.
  • Fluent English and exceptional executive presence.

Responsibilities

  • Act as the Celonis product and domain positioning expert, translating domain expertise and customer requirements into enterprise architecture.
  • Lead technical discovery to architect, prototype, and build bespoke AI solutions addressing operational challenges.
  • Lead end-to-end execution of proof-of-value projects.
  • Architect and deliver secure, scalable LLM and agent systems with advanced RAG, tools, and guardrails, integrating them with enterprise data, identity, and compliance frameworks.
  • Maintain active involvement with strategic accounts to achieve agreed value, adoption thresholds, and operational transformation.
  • Architect industry-specific end-to-end solutions using cross-system, AI-driven approaches.
  • Codify solutions into reusable methodologies and globally scalable assets.
  • Mentor junior peers.

Desired Qualifications

  • A master's degree in computer science, engineering, mathematics, or a related field, or equivalent work experience.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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