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  3. Lead AI Deployment Architect
Celonis logo

Lead AI Deployment Architect

Celonis
Madrid, Spain
Full Time
Posted June 15, 2026
Climate Technology
~96 people viewed this recently
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Job Description

Celonis Services is a strategic organization focused on optimizing our customers' business processes through technical expertise.

Key Responsibilities

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. In a pre-sales and post sales capacity you will work closely with other AI experts across Product & Engineering and GTM to standardize these solutions and bring them to our customer base at scale. We are ideally looking for individuals with in-depth practical experience in delivering solutions to our customers.

Requirements

• 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. • Proficiency in programming languages such as Python • Excellent problem-solving skills, analytical thinking, and attention to detail, with a track record of delivering high-quality solutions under tight deadlines. • Strong communication and collaboration skills, with the ability to 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.

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