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Celonis

Process intelligence platform for end-to-end efficiency

Senior Applied AI Solution Engineer

Pre-Sales Solution EngineeringUpdated on Nov 10
Full-timeMunich, Germany

About the Job

Requirements

  • At least 5 years of experience in executive-facing presales and value engineering, including independently owning the technical close and driving AI transformation narratives.
  • Demonstrated experience executing Proof-of-Value projects, modeling return on investment and total cost of ownership, pitching solutions, and driving projects through to achieved value.
  • Comprehensive knowledge of core operational workflows and industry landscapes, such as supply chain or finance, and the ability to connect systemic bottlenecks to strategic AI solutions.
  • Proficiency in Python, modular application programming interface design, reusable library development, advanced SQL, and scalable data integration using machine-learning and artificial-intelligence frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
  • Strong presentation skills for internal and external stakeholders, including executives, in whiteboarding sessions, formal readouts, and demonstrations.
  • A Master's degree in computer science, engineering, mathematics, or a related field, or equivalent work experience, is preferred rather than required.
  • Native-level or near-native German proficiency (C1/C2), with the ability to engage German-speaking customers, facilitate workshops, and present to executive stakeholders.

Responsibilities

  • Serve as the product and domain positioning expert, translating customer requirements and domain expertise into enterprise architecture.
  • Lead technical discovery and architect, prototype, and build bespoke AI solutions for complex operational challenges.
  • Lead end-to-end execution of high-stakes 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.
  • Advise strategic accounts and support value realization, adoption, and operational transformation through implementation.
  • Use domain expertise and cross-system AI solutioning to architect industry-specific end-to-end solutions.
  • Codify solutions into reusable methodologies and globally scalable assets, and mentor junior peers.

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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