Senior SAP AI Architect

About the job

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

1. Where You Will Belong

You will join a high-performing, innovation-driven SAP AI architecture and engineering team at the intersection of enterprise SAP and artificial intelligence. Guided by our ambition — “Architect the Autonomous Enterprise, Develop and Deliver Today” — we turn complex ideas into scalable, production-grade SAP solutions.

The preferred candidate will possess insatiable curiosity, unbounded creativity, and a growth mindset to navigate ambiguity and deliver clarity within complex SAP environments. Driven by a passion for mentoring and a deep desire to teach and learn, they will naturally translate business problems into elegant SAP-native architectures and solutions while actively giving and receiving feedback to maximize the team's collective knowledge and best practice development.\

2. What You Will Do

You will serve as the SAP architectural authority for AI-driven solutions delivered to our external customers, ensuring every design decision is traceable back to measurable business impact within the SAP landscape. Specifically, you will:

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite
• (Co-)Lead architecture reviews and blueprint sessions, acting as a trusted advisor who communicates complex topics in a business-friendly way
• Define measurable success criteria and ensure performance, quality, and adoption across the SAP ecosystem
• Identify and prioritize high-value SAP-native AI use cases (e.g., S/4HANA, BDC, Analytics Cloud, BTP)
• Ensure responsible AI practices (transparency, fairness, explainability, data privacy) in all solutions
• Advise on latest SAP AI innovations on SAP Business AI Platform and support future-proof architectures, including migration from legacy approaches

As a senior member of the SAP architecture practice, you will contribute to the team's direction, standards, and SAP AI capabilities. Specifically, you will:

• Apply and refine the SAP AI architecture framework, untilizing standards, patterns, and best practices to ensure consistent, high-quality delivery
• Contribute to the SAP AI strategy and roadmap for our unit, identifying capability gaps and proposing solutions
• Support pre-sales and solutioning activities, collaborating with sales and delivery teams to develop compelling proposals and PoCs on SAP BTP and AI Core
• Mentor junior and coach AI Architects, fostering capability growth through knowledge sharing and structured development
• Contribute to SAP thought leadership and Champion innovation by introducing emerging SAP AI technologies.

3. What You Will Bring

a) Education & Track Record

• A Bachelor's or Master's degree in Computer Science, Information Systems, AI, Software Engineering, or a related field
• 6-8 years of SAP experience, including 3+ years in a architect role
• Evidence of thought leadership in the SAP ecosystem (e.g., community contributions, publications, conference speaking) is a strong plus
• Professional fluency in German (B2+)
• Professional fluency in English (C1+)

b) Technical Expertise in SAP Architecture

• Solid expertise in Fiori UI and CAP Framework for building enterprise-grade full-stack applications on SAP BTP
• Very good understanding of SAP architecture principles, including Clean Core, RISE with SAP, GROW with SAP, and cloud transformation frameworks
• Hands-on experience with SAP BTP services and tools (e.g., SAP Build, Process Automation, Build Apps, Integration Suite)
• Proven ability to design integration architectures across SAP and non-SAP systems using Integration Suite, API Management, Event Mesh, and Data Intelligence
• Familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere)
• Expertise in enterprise integration patterns and protocols (e.g., APIs, OData, SOAP)

c) Technical Expertise in SAP AI Architecture

• Solid knowledge of agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) combined with SAP Data Intelligence and Datasphere for orchestrating data and AI pipelines
• Proficiency in designing Generative AI solutions on SAP BTP using Generative AI Hub, including RAG patterns, prompt engineering, and LLM orchestration
• Good understanding of SAP AI Foundation on BTP (e.g., AI Core, multi-model serving, HANA Cloud vector engine, Document Information Extraction)
• Hands-on expertise with SAP HANA Cloud AI/ML capabilities (e.g., predictive analytics, vector search, SAP Analytics Cloud integration)
• Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud

d) Soft Skills, Project Management Skills & Leadership Skills

• Strong communication and storytelling skills, ability to convey complex SAP AI concepts clearly to both executives and technical teams
• Ability to build trust and credibility with C-level stakeholders, customers, and partners
• Strategic mindset with strong business acumen, linking SAP technology decisions to business outcomes and ROI
• Collaborative approach, building consensus across diverse, cross-functional SAP teams
• Resilient and adaptable in fast-paced, evolving SAP project environments
• Strong analytical and structured problem-solving skills, translating complex challenges into actionable solutions and roadmaps
• Proficiency in project and program management expertise (e.g., Agile, SAFe, SAP Activate; tools like Jira, Confluence, SAP ALM)
• Stakeholder management skills, including managing expectations and resistance
• Passion for mentoring and developing junior talent, fostering the next generation of SAP AI architects