Senior AI Deployment Architect

Celonis Celonis · Data AI · London, United Kingdom · Services

This role involves designing, deploying, and scaling AI solutions, including LLM-based solutions, for enterprise customers using Celonis' Process Intelligence platform. The Senior AI Deployment Architect will work in both pre-sales and post-sales capacities, collaborating with product and engineering teams to inform future development and train internal teams. The role requires strong technical acumen, architectural mindset, and experience in production-level deployments.

What you'd actually do

  1. Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy
  2. Prototype, develop, deploy and scale AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions
  3. Identify and package scalable AI use cases across the Celonis platform, driving innovation and expanding our offerings
  4. Collect and share AI success stories with the whole organization and our customers
  5. Help define and lead execution on the roadmap for AI Lighthouse customers

Skills

Required

  • Python
  • Excellent problem-solving skills
  • analytical thinking
  • attention to detail
  • track record of delivering high-quality solutions under tight deadlines
  • Strong communication and collaboration skills
  • translate complex concepts into actionable insights for non-technical stakeholders
  • Experience in production level acceptance testing, delivering end-to-end solutions
  • Strong visionary architectural mindset to develop scalable & easily extensible solutions
  • Strong technical acumen to be able to choose the right AI solution / technology for the respective customer pain point
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Econometrics or related field

Nice to have

  • Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and/or respective Software deployment.
  • Ideally in a customer-facing role with a Consultancy or Business Software / SaaS Provider.
  • Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  • Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems.

What the JD emphasized

  • in-depth practical experience in delivering solutions to our customers
  • Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems
  • Experience in production level acceptance testing, delivering end-to-end solutions
  • Strong visionary architectural mindset to develop scalable & easily extensible solutions

Other signals

  • deploy and scale innovative AI solutions
  • prototype, develop, deploy and scale AI solutions
  • identify and package scalable AI use cases
  • design and architecting end-to-end deployments