必須スキル
Python
Java
AWS
Docker
Kubernetes
Azure
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.
What you’ll build
We're looking for a skilled AI Engineer to help design, build and scale enterprise-grade AI solutions that power SAP’s transformation into a truly data-driven organization.
You will play a key role in developing scalable generative AI and multi-agent systems that deliver measurable business impact across global operations.
The Role:
In this role, you’ll combine strong software engineering, a deep grasp of data and MLOPs, and hands-on expertise with modern AI frameworks to turn ideas into production-ready systems. You’ll help empower SAP employees, partners and customers by transforming trusted data into real-time insights – supporting our mission shaping the next generation of enterprise AI solutions at SAP.
Responsibilities:
Design, develop, and deploy innovative Generative AI and Agentic AI solutions from proof of concept to enterprise-scale production.
Build and maintain robust LLM pipelines, including data processing and retrieval-augmented generation (RAG).
Implement Agent Ops practices to automate the lifecycle of AI agents and LLM applications.
Partner with Product Owners to turn functional requirements into solid, scalable technical designs.
Ensure high standards of reliability, observability, and compliance across deployed models.
Guide and mentor junior engineers to foster AI engineering excellence across teams
What you bring
Degree in computer science or a similar field.
Proven hands-on experience in developing and deploying LLM applications.
Advanced coding skills in Python (preferred) or Java and strong software engineering fundamentals.
Experience with backend frameworks (e.g., FastAPI, Flask, Django) and microservice architectures.
Practical experience with generative AI frameworks like Lang Chain.
Familiarity with Agent Ops tools such as Lang Smith, Lang Fuse, or MLflow for tracing and observability.
Experience buuidling CI/CD pipelines in cloud environments (e.g., Azure, AWS) with Docker, Kubernetes, and GitHub Actions.
Understanding of Agile, SAFe methodologies and collaborative engineering workflows.
Fluent English and a proactive, problem-solving mindset.
Nice to have but not a must:
German language is plus
Knowledge of SAP AI Core, SAP Business Technology Platform (BTP).
Experience with Agentic AI Frameworks (e.g., Lang Graph, CrewAI, Microsoft Agent Framework)
Familiarity with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira).
These skills are a plus. If you don’t have experience in all these areas, we’ll provide the resources and training you need to become a leader in cutting-edge AI technologies.
Where you belong
We are All In on AI in CSAI, focusing on setting the gold standard for responsible, enterprise-grade technology, making SAP a truly data-driven company. We leverage the latest tech (including Business AI) to build responsible, high-impact solutions that empower colleagues worldwide.
Our global team focus on End-to-End Process Simplification, Automation and developing great Apps for our Customers, Partners and SAP employees.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
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.
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.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 447254 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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SAPについて

SAP
PublicThe best-run businesses run SAP.
10,001+
従業員数
Walldorf
本社所在地
$157B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
4.1
キャリア
3.4
経営陣
3.6
65%
知人への推奨率
良い点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
改善点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
給与レンジ
2件のデータ
Intern
L3
L4
L5
Intern · Data Scientist
0件のレポート
$68,766
年収総額
基本給
-
ストック
-
ボーナス
-
$58,453
$79,079
面接レビュー
レビュー5件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 40%
ネガティブ 60%
面接プロセス
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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