必备技能
Python
AWS
Docker
Kubernetes
Linux
GCP
Azure
Scala
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:
As an AI Engineer, you will contribute to building and deploying AI solutions that support various Lines of Business (LOBs) within the company. You will work closely with other engineers to develop AI services, assist in moving projects from proof of concept to production, and collaborate with cross-functional teams to enhance our AI-first tech stack. This role offers opportunities to learn and grow in a dynamic environment while working on diverse challenges.
Key Responsibilities:
Assist in developing AI services and help transition projects from PoC to production
Support the setup and maintenance of Big Data pipelines for AI services
Contribute to designing solutions for GenAI/Agentic AI use cases
Collaborate with stakeholders to understand requirements and implement AI-driven solutions
Productionize AI Po Cs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps
Monitor and maintain AI services in development and production environments
Stay updated on AI technologies and contribute to improving team practices
Help document AI workflows, models, and processes for internal knowledge sharing
Support the enablement of other teams working on code based agentic solution to use our Golden path standard
What You Bring:
Degree in Computer Science, Engineering, or a related field
Strong Python skills:
Experience with backend frameworks (Flask, Django, FastAPI, etc.)
Solid grasp of software engineering principles and agile teamwork
Familiarity with tools like Docker, Kubernetes, GitHub, VSCode, Linux
Exposure to CI/CD and ML Ops (Jenkins, GitHub Actions, MLFlow)
Cloud experience (Azure ML, Databricks, AWS/GCP equivalents)
Fluent English and a collaborative mindset
Understanding of Agile/SAFe methodologies
Nice to have but not a must:
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala)
Hands-on experience with genAI / agenticAI frameworks such as crewAI, langgraph, etc.
Expertise in code-based LLM consumption from platforms like Open
AI or Huggingface:
Curiosity to explore different AI applications and emerging technologies
Experience with SAP AI offerings such as AI Core, AI Business Services, Joule
Where you belong:
SAP Intelligent Enterprise Solutions (IES) exists to “Deliver and Run the Intelligent Enterprise.” As SAP’s technology backbone and reference customer, IES influences product development with a strong focus on customer experience.
Within IES, the Artificial Intelligence Center of Excellence (AI CoE) drives SAP’s transformation into a data-driven intelligent enterprise. Our mission is to deliver business value through AI and establish SAP as a market thought leader in AI.
We implement both standard and custom AI solutions across all lines of business, acting as customer zero for SAP AI products and providing continuous feedback for improvement. We offer a robust AI platform and infrastructure for end-to-end ML development using MLOps, and operate a central chatbot platform via SAP Conversational AI, enabling digital assistant capabilities across SAP.
Our team culture is built on trust, collaboration, agility, and transparency. We follow an autonomous, agile team model (SAFe) and embrace SAP New Work principles, putting people at the center and encouraging creativity and experimentation
#SAPAgenticAICareers
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: 439587 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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关于SAP

SAP
PublicThe best-run businesses run SAP.
10,001+
员工数
Walldorf
总部位置
$157B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
3.5
企业文化
4.1
职业发展
3.4
管理层
3.6
65%
推荐率
优点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
缺点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
薪资范围
2个数据点
Intern
L3
L4
L5
Intern · Data Scientist
0份报告
$68,766
年薪总额
基本工资
-
股票
-
奖金
-
$58,453
$79,079
面试评价
5条评价
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 40%
负面 60%
面试流程
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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