トレンド企業

SAP
SAP

The best-run businesses run SAP.

Development Expert (f/m/d)

職種インフラ
経験ミドル級
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

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

You will design and deliver AI-powered capabilities that elevate SAP’s core Sales business processes. Your solutions will directly contribute to SAP’s top-line growth and strengthen its position.

Your focus will be on:

  • Intelligent Sales Solutions – Build AI-driven features that empower SAP Account Executives with predictive insights, automation, and decision support embedded directly into sales workflows.

  • End-to-End AI Integrations – Architect and implement scalable AI components across applications, ensuring seamless integration into existing enterprise systems.

  • User-Centric Innovation – Transform complex sales processes into intuitive, insight-driven experiences using machine learning, generative AI, and advanced analytics.

  • Revenue-Impacting Automation – Develop intelligent services that enhance pipeline visibility, opportunity prioritization, forecasting accuracy, and operational efficiency.

  • Production-Grade AI Systems – Own the lifecycle from experimentation to enterprise-ready deployment, including MLOps, monitoring, governance, and performance optimization.

What you bring

  • You combine strong engineering fundamentals with practical AI expertise and a passion for meaningful innovation.

  • Proven experience in AI/ML engineering, including model development, evaluation, and deployment in production environments

  • Hands-on experience with Python and modern AI frameworks

  • Familiarity with generative AI, LLM orchestration, prompt engineering, and retrieval-augmented systems

  • Experience building scalable cloud-native solutions (preferably in SAP BTP or comparable platforms such as AWS, Azure, or GCP)

  • Strong understanding of data engineering concepts and API-based architectures

  • Knowledge of MLOps practices, CI/CD, and monitoring of AI systems

  • Most importantly, you are energized by lifelong learning, experimentation, and turning ambitious ideas into working solutions.

Where you belong

You’ll join a high-energy, high-ownership team that thrives on curiosity, collaboration, and real impact. We challenge ideas, support each other, and turn bold concepts into enterprise-ready solutions. If you love learning, taking initiative, and building AI that directly fuels SAP’s sales success, you’ll feel right at home.

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: 448461 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #

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1

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0

Mock Apply

0

スクラップ

0

SAPについて

SAP

SAP

Public

The 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

10件のレビュー

3.8

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

3.6

65%

知人への推奨率

良い点

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

改善点

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

給与レンジ

2件のデータ

Intern

L3

L4

L5

Intern · Data Scientist

0件のレポート

$68,766

年収総額

基本給

-

ストック

-

ボーナス

-

$58,453

$79,079

面接レビュー

レビュー5件

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