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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 do
Summary:
We are looking for a top-notch experienced (Senior / Expert) AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP’s internal business organizations.
You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging SAP's latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems.
You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI across the enterprise domains.
The Role:
In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You’ll design and implement AI solutions, setup and develop big data pipelines and ensure high standards of scalability, observability and compliance. You’ll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions at SAP.
Responsibilities:
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Design, develop and deploy AI and (gen)AI services and solutions from proof of concept to full enterprise production
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Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems
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Implement CI/CD and MLOps practices to automate model training, testing and deployment
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Collaborate with Product Owners and data scientists to translate requirements into technical specifications
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Develop and integrate multi-agent AI and LLM-based products and solutions
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Ensure reliability, observability and compliance of deployed AI solutions Guide and mentor junior colleagues to foster AI engineering excellence across teams
What you bring
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Degree in computer science or a similar field
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Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles
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Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures
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Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)
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Experience with multi-agent or generative AI frameworks (e.g., Lang Chain, CrewAI) and AI models.
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Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
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Hands-on experience with data ETL, APIs and model deployment workflows
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Knowledge of distributed systems and data platforms for big data
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Understanding of Agile, SAFe methodologies and collaborative engineering practices
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Fluent English and a proactive, problem solving mindset
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.
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: 450968 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Part Time or Regular Full Time |
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応募クリック数
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模擬応募者数
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スクラップ
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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
3.9
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
3.3
72%
友人に勧める
良い点
Good benefits and retirement plans
Training and development opportunities
Supportive team collaboration
改善点
Work-life balance challenges
High workload and stress during peak times
Limited career advancement opportunities
給与レンジ
2件のデータ
L3
L4
L5
Intern
L3 ·
0件のレポート
-
年収総額
基本給
-
ストック
-
ボーナス
-
面接体験
5件の面接
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
ニュース&話題
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3d ago
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3d ago
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News
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3d ago
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AEW
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·
6d ago