Job Description
The Senior AI Solutions Engineer AI Deployment Architect is responsible for designing, deploying, and scaling innovative AI solutions using the Celonis Process Intelligence platform, working closely with customers to address their business challenges and drive AI adoption across the organization.
Key Responsibilities
- Design, deploy, and scale AI solutions and automations using the Process Intelligence platform
- Collaborate with Product Engineering and GTM teams to standardize and bring AI solutions to customers at scale
- Prototype and develop AI solutions tailored to customer needs, including machine learning and LLM-based solutions
- Identify and package scalable AI use cases across the platform to drive innovation and expand offerings
- Train internal teams on positioning and deploying AI solutions
- Architect end-to-end deployments encompassing AI and PI Automation
- Engage with customers to understand their problems and demonstrate AI value propositions
- Contribute to the AI solution roadmap and inform future product development based on customer feedback
Requirements
- 5 years 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 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
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
access to gym subsidies
counseling and well-being programs
internal mobility and mentorship opportunities
clear career paths
learning programs
Ready to Apply?
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