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SAP
SAP

The best-run businesses run SAP.

AI Engineer

职能机器学习
级别中级
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

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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关于SAP

SAP

SAP

Public

The 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