celonis
Visit websiteLead Deployment Architect - AI
Salary not disclosed8+ yearsOnsite
- Services
- Munich
- Full time
- Yesterday
About the role
The Lead Deployment Architect - AI serves as the technical authority for strategic customer accounts, shaping the design, architecture, and delivery of Celonis solutions. This role bridges pre-sales and post-sales, ensuring that complex enterprise deployments are architected for scale and effectively utilize AI-augmented workflows. You will act as a senior technical advisor to C-suite stakeholders while setting delivery standards and mentoring the broader deployment team.
Responsibilities
- Support Services scoping in pre-sales and define technical blueprints for enterprise deployments.
- Design secure, scalable end-to-end solution architectures and make architectural trade-off decisions.
- Design and validate AI agent workflows and develop reusable delivery templates and patterns.
- Serve as a senior technical advisor to VP and C-level stakeholders at strategic accounts.
- Conduct design reviews and ensure delivery teams adhere to architectural standards.
- Collaborate with Product and Engineering teams to provide field insights and influence the platform roadmap.
Required skills
- Solution Architecture
- Enterprise Architecture
- AI Orchestration
- Data Integration
- Process Intelligence
- Python
- Technical Consulting
- Stakeholder Management
- German
- English
Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field
- 8+ years in technical consulting, solution architecture, or delivery leadership
- 3+ years in a senior or lead technical role with multi-stakeholder responsibility
Benefits
- Restricted Stock Units (RSUs)
- Parental leave
- Unlimited PTO
About the Company
Celonis is the trusted platform to industrialize Enterprise AI, combining process data, business knowledge, and intelligence into a living digital twin of the enterprise. The company helps global organizations make their AI agents, people, systems, and processes work together to achieve transformational outcomes.