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Senior SAP AI Architect

SAP

YY · full time · Senior

Listed on SAP’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role leads the design and delivery of AI-integrated solutions within SAP's enterprise platforms, working with customers to architect scalable systems on SAP BTP and related technologies. It suits experienced SAP architects with deep knowledge of both enterprise integration and generative AI who want to shape the direction of the company's AI practice and mentor others.

Our summary, not SAP’s wording. The full posting is on their site.

What they ask for

Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, AI, Software Engineering, or related field
  • 6-8 years of SAP experience with 3+ years in an architect role
  • Professional fluency in German (B2+) and English (C1+)
  • Solid expertise in Fiori UI and CAP Framework for full-stack applications on SAP BTP
  • Strong understanding of SAP architecture principles including Clean Core, RISE with SAP, and cloud transformation
  • Hands-on experience with SAP BTP services including Build, Process Automation, Integration Suite
  • Proven ability to design integration architectures across SAP and non-SAP systems
  • Solid knowledge of agentic AI frameworks combined with SAP Data Intelligence and Datasphere
  • Proficiency in designing Generative AI solutions on SAP BTP using Generative AI Hub and RAG patterns
  • Understanding of SAP HANA Cloud AI/ML capabilities including predictive analytics and vector search
  • Strong communication skills to convey complex concepts to executives and technical teams
  • Ability to build trust with C-level stakeholders and customers
  • Strategic mindset linking technology decisions to business outcomes
  • Project and program management expertise with tools like Jira, Confluence, SAP ALM
  • Passion for mentoring junior architects and fostering team capability growth

Nice to have

  • Evidence of thought leadership in the SAP ecosystem through community contributions, publications, or conference speaking
  • Familiarity with SAP data models and enterprise data architecture

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