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

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:

a) Customer-Focused Outcomes

As a (Senior) SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions
• Design and implement production-grade AI solutions on SAP AI Foundation, covering data, models, APIs, front-end integration, agent-to-agent communication workflows
• Deliver Generative AI use cases on SAP BTP (e.g., RAG pipelines, chatbots, document processing, AI-driven workflows)
• Build and manage SAP AI Core pipelines, including training, model serving, and monitoring for production readiness
• Develop conversational and agent-based AI solutions (e.g., SAP Joule) to enable natural language interaction with SAP processes
• Build end-to-end SAP applications using CAP and Fiori, creating intuitive, AI-augmented user experiences
• Design and orchestrate agent-based workflows across SAP and non-SAP systems for intelligent automation

b) Functional Contributor for the Team

Beyond individual delivery, you will play an important role as a technical voice and enabler within the engineering team. Specifically, you will:

• Apply and refine SAP AI development standards for our team, including coding practices, reusable components, and deployment guidelines
• Conduct code reviews providing high-quality feedback to improve solution quality and team capability
• Mentor and support engineers through knowledge sharing, pair programming, and technical coaching
• Contribute to pre-sales by developing and presenting PoCs and technical demos showcasing SAP AI capabilities
• Support Agile delivery processes (e.g., sprint planning, backlog refinement, estimation) with strong technical input
• Stay current with SAP AI and broader AI ecosystem trends, driving continuous innovation within the team

What you bring:

a) Education & Track Record

• A Bachelor's or Master’s degree in Computer Science, Software Engineering, AI, Information Systems, or a related field
• 5+ years of software development experience, including 3+ years in SAP BTP development and/or AI/ML engineering in enterprise SAP environments
• Proven track record of delivering production-grade SAP AI solutions across full project lifecycles (design, development, deployment) using modern frameworks (e.g., CAP, Fiori, Integration Suite)
• Professional fluency in German (B2+)
• Professional fluency in English (C1+)

b) Core Architecture & Engineering Skills

• Good understanding of SAP architecture principles and proven ability to design robust integration architectures
• Solid Python skills for AI/ML development (e.g., LangChain, LlamaIndex, Hugging Face, scikit-learn, pandas, NumPy) in SAP AI Core environments
• Hands-on experience in SAP BTP development and subaccount management
• Proficiency in SAP CAP (Node.js/Java) for building scalable, cloud-native applications and AI-enabled services
• Experience with SAP Fiori/UI5 to develop and extend AI-powered user interfaces
• Understanding of S/4HANA extensibility patterns (side-by-side, in-app, key-user) aligned with Clean Core principles
• Solid API development skills (REST, OpenAPI, versioning) and SAP API Management

c) SAP AI & Agentic AI Skills

• SAP AI, Agentic AI & Generative AI Expertise
  • Hands-on experience with SAP AI Foundation, including model deployment, serving, and workflow orchestration
  • Experience with SAP Generative AI Hub for managing LLM providers (e.g., Azure OpenAI, AWS Bedrock, Vertex AI)
• Agentic AI & Multi-Agent Systems
  • Strong knowledge of agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI)
  • Experience designing multi-agent architectures (task orchestration, state management, delegation, error handling)
  • Ability to build conversational AI systems with context management, memory, and multi-turn interactions
  • Familiarity with SAP Joule integration and extending it with custom skills and agents
• Generative AI & LLM Engineering
  • Strong prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization)
  • Hands-on experience with RAG architectures (chunking, embeddings, vector search, retrieval strategies)

c) Data & Integration Skills

• Proficiency in SAP BDC, including data product design, data integration, and use of Datasphere data in AI pipelines
• Experience with SAP Integration Suite (e.g., Cloud Integration, API Management, Event Mesh) to connect AI services with SAP processes
• Proficiency in SAP Cloud Connector and Destination Service for secure connectivity between BTP and backend systems
• Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications

d) AI Quality & DevOps Skills

• Experience with SAP AI Core MLOps capabilities (e.g., training pipelines, model management, and inference endpoints)
• Proficiency in SAP AI Launchpad for monitoring and managing AI scenarios across BTP environments
• Experience with CI/CD pipelines on SAP BTP (e.g., SAP CI/CD service, GitHub Actions, Azure DevOps)
• Knowledge of SAP BTP security best practices (e.g., OAuth2/XSUAA, secret management, encryption, Responsible AI compliance)

e) Soft Skills, Project Management Skills & Leadership Skills

• Strong communication skills, able to explain complex SAP AI concepts to both technical and business stakeholders
• Strong ownership mindset, ensuring quality, reliability, and timely delivery
• Analytical and structured problem-solving approach
• Adaptability and continuous learning mindset within evolving SAP AI landscapes
• Solid understanding of Agile and SAP Activate methodologies
• Strong mentoring and knowledge-sharing mindset, supporting team growth
• Customer-focused approach, aligning development with business outcomes

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