AI Engineer (Associate AI Developer) (f/m/d)

Sorry, this job was removed at 12:24 p.m. (UTC) on Wednesday, Oct 21, 2026
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Garching bei München, Bayern, DEU
Hybrid
Entry level
Artificial Intelligence • HR Tech • Information Technology • Software • Database • Cybersecurity • Big Data Analytics
At SAP, we grow, we lead, we innovate. As colleagues, we support, challenge, and inspire one another every day.
The Role
Build production-grade enterprise AI solutions for autonomous asset management. Develop backend services, REST APIs, frontend components, LLM agents, RAG systems, and agent orchestration workflows. Integrate SAP systems, enterprise APIs, databases, and external services, while supporting deployment across SAP BTP, SAP AI Core, Kubernetes, and cloud environments. Participate in customer workshops, demos, and implementations; write tested code, resolve production issues, and create reusable AI components.
Summary Generated by Built In
Job Description

What you bring 

  • Bachelor's or Master's degree in Computer Science, AI, IT, or related discipline. 

  • Strong Python programming fundamentals. 

  • Understanding of data structures, algorithms, and software engineering. 

  • Basic understanding of Generative AI, LLMs, prompt engineering, embeddings, and RAG. 

  • Exposure to LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar. 

  • Knowledge of REST APIs, Git, Docker, SQL/NoSQL. 

  • Basic Kubernetes, cloud, and CI/CD understanding. 

  • Exposure to SAP BTP, SAP AI Core, or Joule is a plus. 

  • Strong analytical thinking, curiosity, and communication. 

 

Nice to have 

  • AI/ML internship or academic projects. 

  • Exposure to vector databases and knowledge graphs. 

  • Experience with GitHub Copilot, Cursor, or Claude Code. 

  • Open-source or hackathon participation. 

 

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: 

  • Build backend services, REST APIs, and frontend components for enterprise AI applications. 

  • Develop AI agents using LLMs, RAG, MCP, tool calling, and agent orchestration frameworks. 

  • Integrate SAP systems, enterprise APIs, databases, and external services into AI solutions. 

  • Support deployment on SAP BTP, SAP AI Core, Kubernetes, and cloud environments. 

  • Participate in customer workshops, discovery sessions, demos, and implementations. 

  • Write clean, maintainable, well-tested code. 

  • Debug production issues and improve reliability and performance. 

  • Contribute reusable components and documentation. 

  • Continuously learn 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 thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one. 

This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers. 

 

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

Additional Information

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: [email protected].
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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, AI, IT, or a related discipline
  • Strong Python programming fundamentals
  • Understanding of data structures, algorithms, and software engineering
  • Basic understanding of Generative AI, LLMs, prompt engineering, embeddings, and RAG
  • Exposure to LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar frameworks
  • Knowledge of REST APIs, Git, Docker, SQL, and NoSQL
  • Basic understanding of Kubernetes, cloud, and CI/CD
  • Strong analytical thinking, curiosity, and communication
  • AI or machine learning internship or academic projects
  • Exposure to vector databases and knowledge graphs
  • Experience with GitHub Copilot, Cursor, or Claude Code
  • Open-source or hackathon participation
  • Exposure to SAP BTP, SAP AI Core, or Joule

SAP Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SAP and has not been reviewed or approved by SAP.

  • Fair & Transparent Compensation — Pay is considered competitive and fair overall, with satisfaction higher in certain roles and geographies, especially sales with strong on‑target earnings. Feedback suggests compensation is above average for a large enterprise software employer even if not at the very top of the tech market.
  • Leave & Time Off Breadth — Generous paid time off, holidays, volunteer time, and a formal sabbatical option are part of the total rewards. These offerings contribute meaningfully to overall value even when base salary alone may feel mid‑pack.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage, plus HSAs/FSAs and mental‑health support, form a robust core of the package. Paired with other coverages, this breadth reinforces strong total compensation value.

SAP Insights

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The Company
HQ: Walldorf
105,328 Employees
Year Founded: 1972

What We Do

SAP is one of the world’s leading producers of software for business process management. Today, SAP has over 250 million cloud users and more than 100 solutions covering all industries and business functions. Every day, we help companies and organizations of all sizes and industries to run their businesses profitably, to adapt continuously, and grow sustainably.

Why Work With Us

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