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Celonis

Process intelligence platform for end-to-end efficiency

Senior Applied Value Engineer - AI Process Optimisation & Pre-Sales

Pre-Sales Solution EngineeringPosted on Nov 11
Full-timeLondon, UK

About the Job

Requirements

  • At least 5 years of executive-facing presales and value engineering experience, including independently owning the technical close, executing proof-of-value projects, complex ROI/TCO modeling, presenting AI transformation narratives, and driving projects through to 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 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.
  • Extensive experience designing deployment architectures and reliability standards for production-grade AI 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, in whiteboarding sessions, formal readouts, and demonstrations.
  • Flawless English and exceptional executive presence.

Responsibilities

  • Diagnose strategic and operational challenges for strategic global accounts and discover and build tailored, domain-specific use cases.
  • Translate customer requirements and domain expertise into enterprise architecture, and lead technical discovery to architect, prototype, and build AI solutions for operational challenges.
  • Lead execution of high-stakes proof-of-value projects and architect and deliver secure, scalable LLM and agent systems with advanced RAG, tools, and guardrails, integrating with enterprise data, identity, and compliance frameworks.
  • Maintain active involvement with strategic accounts to drive agreed-upon value realization, adoption, and operational transformation.
  • Architect industry-specific end-to-end solutions using domain expertise and cross-system, AI-driven approaches.
  • Codify solutions into reusable methodology and globally scalable assets to accelerate time-to-value.

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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