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# Lead SAP AI Engineer

- **Company:** SAP LeanIX
- **Location:** Wien, Austria
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Data Integration, DevOps, Github, Python (Programming Language), Machine Learning, Node.Js, NumPy, OAuth, Open Data Protocol, Pair Programming, Scrum Methodology, SAP (Applications), SAP Project System, Search Technologies, Software Engineering, Management of Software Versions, Workflow Management Systems, Openapi, BI Launch Pad (Software), Chatbots, Spring Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, SAP Business Technology Platform, Backend, Sap Fiori, Pandas, SAPBasis, AI Platforms, Scikit Learn, Information Technology, HuggingFace, SAP S/4HANA, Machine Learning Operations, Front End Software Development, Virtual Agents, Cloud Integration, Api Design, Restful APIs, Api Management
- **Published:** August 7, 2026
- **Apply:** https://dejobs.org/x/x/E50CFD9B53A94083A45694AEF3701ABA/job/

## About the Role

· Master's degree in Computer Science, Software Engineering, AI, Information Systems, or a related field

· 7 years of software development experience, including 5 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 and English (C1 )

b) Core Architecture & Engineering Skills

· Solid understanding of SAP architecture principles and proven ability to design robust integration architectures

· Strong Python skills for AI/ML development (e.g., LangChain, LlamaIndex, Hugging Face, scikit-learn, pandas, NumPy) in SAP AI Core environments

· Solid 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

· Strong API development skills (REST, OpenAPI, versioning) and SAP API Management

c) SAP AI & Agentic AI Skills

· SAP AI, Agentic AI & Generative AI Expertise

o Hands-on experience with SAP AI Foundation, including model deployment, serving, and workflow orchestration

o Experience with SAP Generative AI Hub for managing LLM providers (e.g., Azure OpenAI, AWS Bedrock, Vertex AI)

· Agentic AI & Multi-Agent Systems

o Strong knowledge of agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI)

o Experience designing multi-agent architectures (task orchestration, state management, delegation, error handling)

o Ability to build conversational AI systems with context management, memory, and multi-turn interactions

o Familiarity with SAP Joule integration and extending it with custom skills and agents

· Generative AI & LLM Engineering

o Expert-level prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization)

o 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

· Strong 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

· Mentoring and knowledge-sharing mindset, supporting team growth

· Customer-focused approach, aligning development with business outcomes

## Description

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 technology and artificial intelligence. Our team operates with a bold ambition: "Architect the Autonomous Enterprise, Develop and Deliver Today." We are a group of intellectually curious, outcome-obsessed SAP technologists who challenge conventional thinking, embrace complexity, and turn ambitious 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

a) Customer-Focused Outcomes

As a Senior SAP AI Engineer, 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 senior technical voice and enabler within the development team. Specifically, you will:

· Define and promote SAP AI development standards, including coding practices, reusable components, and deployment guidelines

· Conduct code reviews and peer assessments, 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

 3. What You Will Bring, Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process (https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US) .

Please note that any violation of these guidelines may result in disqualification from the hiring process.


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