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Job Description
The Lead AI Deployment Architect at Celonis is responsible for designing, deploying, and scaling innovative AI solutions to optimize customer business processes using the Process Intelligence platform, working closely with clients and internal teams to drive AI adoption and innovation.
Key Responsibilities
- Understand customer problems and design AI solutions using the Process Intelligence platform
- Prototype, develop, deploy, and scale AI solutions tailored to customer needs
- Identify and package scalable AI use cases to drive innovation and expand offerings
- Collaborate with Product Engineering and Business Teams to inform product development based on customer feedback
- Train internal teams on positioning and deploying AI solutions
- Design and architect end-to-end AI and automation deployments
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, or alternatively in an Inhouse role such as within a 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 and 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.
Benefits & Perks
Compensation/salary range not specified
Work schedule: hybrid working options
Work environment perks: generous PTO, extensive parental leave, gym subsidies, counseling, well-being programs, dedicated volunteer days
Additional benefits: company equity RSUs, internal mobility, dedicated learning program, mentorship opportunities, community and support programs, inclusive culture, international team collaboration
Ready to Apply?
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