Senior AI Deployment Architect
CelonisMunich, GermanyPosted 9 March 2026
Tech Stack
Job Description
We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?
The Team:
Celonis Services is a strategic organization focused on optimizing our customers' business processes through technical expertise. We integrate Consulting Services, Academy, and Customer Support to deliver comprehensive solutions. As thought leaders with deep product, technical, and domain expertise, we specialize in implementing Celonis to drive the adoption of process intelligence, ultimately transforming and improving our customers' core business operations. We achieve this by leveraging our best practices, extensive delivery experience, award-winning enablement programs, and robust support infrastructure.
The Role:
As an 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.
The work you’ll do:
Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy
Prototype, develop, deploy and scale AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions
Identify and package scalable AI use cases across the Celonis platform, driving innovation and expanding our offerings
Collect and share AI success stories with the whole organization and our customers
Help define and lead execution on the roadmap for AI Lighthouse customers
Closely collaborate with Product Engineering and the Business Apps Teams to inform future product development based on customer feedback
Train internal teams and help them position and deploy AI solutions
Design and architecting end-to-end deployments that encompass AI, PI Automation
The preferred qualifications you need:
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
Fluency in German
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Econometrics or related field.
What Celonis Can Offer You:
Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: I ... (truncated, view full listing at source)
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