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SAP
SAP

The best-run businesses run SAP.

AI Engineer

직무머신러닝
경력미들급
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

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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SAP 소개

SAP

SAP

Public

The 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