필수 스킬
Python
Java
SQL
AWS
GCP
Azure
Machine Learning
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
Join our mission to transform how enterprises manage their data during cloud transformation journeys. You'll be at the heart of building intelligent AI agents that bridge the gap between legacy systems and modern cloud landscapes, ensuring organizations migrate on clean, reliable, and consistent data. These agents will detect data quality issues such as missing references, incomplete structures, and functional errors across complex enterprise landscapes. You'll work with large language models, agentic frameworks, and modern AI technologies to build a learning system that adapts and improves over time, helping customers reduce data preparation effort by 25% and project duration by 10%.
Responsibilities
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Design and implement AI agents for automating data quality analysis, including error detection and automated remediation recommendations
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Build, optimize, and maintain prompt engineering solutions to extract actionable insights and generate meaningful recommendations
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Develop and implement robust quality and evaluation frameworks to measure, monitor, and enhance agent performance, accuracy, and reliability within production environments
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Apply classical machine learning and state-of-the-art generative AI to deliver effective solutions.
What You Bring Required Experience & Qualifications:
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2+ years of professional software development experience with hands-on Java or Python programming in production environments
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Experience building applications using agentic frameworks such as Lang Chain, Lang Graph, or similar orchestration tools
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Knowledge of AI agent design patterns, including reasoning, planning, tool use, and memory management
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Understanding of quality assurance and evaluation techniques for AI systems
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Strong problem-solving skills
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Fluency in English, both written and spoken
Nice to Have:
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Familiarity with MCP servers or AI skills for exposing AI capabilities as composable services
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Knowledge of vector databases, RAG (Retrieval-Augmented Generation), or semantic search
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Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud-native development practices
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Familiarity with SQL for data analysis and working with large-scale datasets
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Practical experience in fine-tuning AI/ML models
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Strong data science background and hands-on experience with Databricks
Where You Belong
You'll join a collaborative team that's passionate about applying AI to solve real-world enterprise challenges. We value curiosity, experimentation, and continuous learning. We embrace a culture of flexibility and work-life balance, supporting hybrid work models and asynchronous collaboration. You'll have the opportunity to grow your expertise in both AI engineering and enterprise data management, learning from experienced colleagues while contributing your own ideas and innovations. You'll find a supportive environment that values both technical excellence and team collaboration.
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: 445640 | 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 소개

SAP
PublicThe best-run businesses run SAP.
10,001+
직원 수
Walldorf
본사 위치
$157B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.4
경영진
3.6
65%
지인 추천률
장점
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
단점
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
연봉 정보
2개 데이터
Intern
L3
L4
L5
Intern · Data Scientist
0개 리포트
$68,766
총 연봉
기본급
-
주식
-
보너스
-
$58,453
$79,079
면접 후기
후기 5개
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 40%
부정 60%
면접 과정
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
최근 소식
AI clause in new SAP API policy provokes lock-in concern - theregister.com
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