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Celonis

Process intelligence platform for end-to-end efficiency

Lead Applied Value Engineer

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

About the Job

Requirements

  • At least 7 years of executive-facing presales and value engineering experience, including independently owning the technical close, delivering AI transformation narratives, executing Proof-of-Value projects, performing return-on-investment and total-cost-of-ownership modeling, and driving projects through achieved value.
  • Comprehensive knowledge of core 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 architectural expertise in large language model orchestration, tool use and function calling, retrieval-augmented generation, 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.
  • Extensive experience designing deployment architectures and reliability standards for production-grade AI across AWS Bedrock, Azure AI, and GCP Vertex AI.
  • Proficiency in Python, 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 ensure adherence 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, in whiteboarding sessions, formal readouts, and demos.
  • Flawless English and exceptional executive presence.

Responsibilities

  • Translate customer strategies, operational challenges, domain expertise, and complex requirements into tailored use cases and enterprise architecture.
  • Lead technical discovery and architect, prototype, and build bespoke AI solutions for complex operational problems.
  • Lead end-to-end execution of Proof-of-Value projects.
  • Architect and deliver secure, scalable large language model and agent systems with advanced retrieval-augmented generation, tools, and guardrails, integrating them with enterprise data, identity, and compliance frameworks.
  • Maintain involvement with strategic accounts to ensure value realization, adoption, and operational transformation.
  • Architect industry-specific end-to-end solutions using domain expertise and cross-system, AI-driven solutioning.
  • Codify solutions into reusable methodologies and globally scalable assets to accelerate time-to-value.
  • 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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