Lead AI Deployment Architect

Celonis
Full-timeLead

AI Tools

ChatGPTDatabricks

Tech Stack

PythonRAGLLMsMachine Learning

Agent Workflow

Prototype, develop, and scale end-to-end AI solutions leveraging LLM-based architectures (RAG) and Machine Learning. Influence roadmap for AI Agents and automation capabilities. Integrate AI, Process Intelligence, and Automation into enterprise IT landscapes.

About the Role

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms.

The Role:

As a Lead AI Deployment Architect, you will work directly with customers to understand their problems and design, deploy and scale innovative AI solutions and automations using our Process Intelligence platform.

The work you'll do:

  • Architect & Deploy: Prototype, develop, and scale end-to-end AI solutions tailored to customer needs, leveraging Python, LLM-based architectures (RAG), and Machine Learning models.
  • Strategic Alignment: Pitch the Celonis AI value proposition to C-level stakeholders, aligning our Process Intelligence capabilities with their broader enterprise AI strategy.
  • Scale Innovation: Identify high-impact AI use cases across the Celonis platform and package them into scalable, repeatable offerings (e.g., via the Machine Learning Workbench).
  • Lead "Lighthouse" Projects: Define and execute the technical roadmap for AI Lighthouse customers, ensuring successful value realization from pilot to production.
  • Cross-Functional Feedback: Act as the technical voice of the customer, collaborating with Product & Engineering to influence the roadmap for AI Agents and automation capabilities.
  • Full-Stack Implementation: Design and architect deployments that seamlessly integrate AI, Process Intelligence, and Automation into complex enterprise IT landscapes.

Qualifications:

  • Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems.
  • Proficiency in programming languages such as Python
  • Strong visionary architectural mindset to develop scalable & easily extensible solutions
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Econometrics or related field.
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