AI Engineer (f/m/d)

What you bring

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related discipline.

• Professional software engineering experience.

• Strong Python programming skills with experience in Java, TypeScript, or JavaScript.

• Hands-on experience with LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar frameworks.

• Strong understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, MCP, and agentic AI.

• Experience building REST APIs, microservices, and cloud-native applications.

• Hands-on experience with Docker, Kubernetes, Git, CI/CD, and AWS, Azure, or GCP.

• Experience integrating enterprise applications and databases.

• Exposure to SAP BTP, SAP AI Core, Joule, or SAP Business AI services is highly desirable.

• Excellent communication, analytical thinking, ownership, and customer engagement skills.

Nice to have

• Experience with Knowledge Graphs, GraphRAG, AI evaluation, and AI observability.

• Experience delivering enterprise AI projects in customer-facing roles.

• Open-source contributions, hackathons, or technical community involvement.

• Experience using GitHub Copilot, Cursor, Claude Code, or similar AI-assisted engineering tools.

What you'll build

Join our growing Industry AI team in Munich and help shape the future of Autonomous Asset Management, transforming how asset-intensive industries manage, maintain, and optimize their critical assets through AI.

You will build innovative, scalable AI solutions that enable smarter decisions, more efficient operations, and greater autonomy across the asset lifecycle.

• Build next-generation Industry AI solutions that combine agentic AI, intelligent automation, and advanced optimization to address complex asset management challenges.

• Develop reusable AI capabilities and templates that provide a scalable foundation for innovation across customers and industries.

• Take end-to-end technical ownership, from solution design and engineering to deployment, continuous improvement, and long-term evolution.

• Translate industry expertise into intelligent solutions, connecting enterprise data, business context, and AI-driven decision-making to deliver measurable customer value.

• Drive innovation from concept to reality, collaborating with product management, FDE delivery teams, and industry experts to turn emerging AI technologies into enterprise-ready solutions.

You will have the opportunity to work at the forefront of enterprise-grade Industry AI, take significant technical ownership, and help define how autonomous asset management becomes a reality for leading global enterprises.

In this role, you will:

• Design and implement production-grade AI applications using modern software engineering practices.

• Develop AI agents using LLMs, RAG, MCP, tool calling, structured outputs, and multi-agent orchestration.

• Build integrations with SAP products, enterprise applications, APIs, databases, and external services.

• Deploy and operate AI applications on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms.

• Own customer-facing technical workstreams and translate business requirements into working AI solutions.

• Develop reusable frameworks, accelerators, and reference implementations.

• Perform code reviews and mentor Associate AI Developers.

• Optimize AI systems for performance, reliability, observability, and cost.

• Collaborate with architects, product engineering, and customer stakeholders.

• Drive innovation through prototypes and emerging AI technologies.

Where you belong

You will be part of a growing Industry AI and expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will independently own customer workstreams while partnering with senior engineers and architects on complex enterprise engagements, helping shape reusable AI assets and delivery best practices.

Skills used in this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Agentic Engineering, Agentic Orchestration, AI-Assisted Engineering, Cloud Architecture, Semantic Retrieval

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
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.

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