(Senior) SAP AI Architect (f/m/d)

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.

This position can be filled at the SAP locations Munich (Garching), Walldorf, Berlin, Ratingen and Hamburg

Where you 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.

What you’ll build:

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

What you 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
• Professional fluency in English

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

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