必須スキル
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 do
Summary:
We are looking for a top-notch experienced Lead AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP’s internal business organizations.
The Role:
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Work with a global, agile team of data scientists, AI/ML engineers and software engineers on Agentic AI and ML solutions as well as on the E2E lifecycle
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Lead the development process of cutting edge data science and AI solutions including the development, maintenance and optimization of Agentic AI architectures and solutions across business domains
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Design, develop and deploy AI services and solutions from proof of concept to full enterprise production
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Execute enterprise-grade LLMOps and MLOps: continuous integration, continuous delivery, and continuous training for our AI models and Agentic workflows
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Drive architectural decisions for enterprise grade AI solutions
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Ensure reliability, observability and compliance of deployed AI solutions
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Guide and mentor junior colleagues to foster AI engineering excellence across teams
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Keep up-to-date with state-of-the-art algorithms and technologies in Agentic AI and ML and act as a thought leader in the AI and engineering space
What you bring
We are looking for a driven and motivated team player with at least a Master's Degree in Computer Science, Data Science, or related fields. You should have multiple years and extensive experience in Python programming and in distributed computing frameworks. Additionally, strong experience with data modeling, ETL processes, and cloud infrastructure is required. An enterprise-grade expert background with a wide range of ML/AI algorithms, statistical models and ML/AI architectures rounds off the profile. In more detail, candidates should have exceptional industry-leading skills in:
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Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles
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Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures
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Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)
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Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
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Hands-on experience with data ETL, APIs and model deployment workflows
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Knowledge of distributed systems and data platforms for big data
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Understanding of Agile, SAFe methodologies and collaborative engineering practices
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Fluent English and a proactive, problem solving mindset; good German language skills desirable
Nice to have but not a must:
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Experience with multi-agent or generative AI frameworks (e.g., Lang Chain, CrewAI)
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Familiarity with SAP AI Core, SAP BTP
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Experience 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.
As we are a diverse multi-cultural team, strong oral and written communication skills in English are a must.
Since we provide cutting-edge, innovative AI/ML solutions to complex business problems, we value an open, out-of-the-box-thinking, creative, and solution-oriented mindset, supported by in-depth AI and data engineering experience.
Meet your team
SAP’s Enterprise AI Center of Excellence, our tech powerhouse and internal trailblazer. Our unit leads the enterprise transformation by embedding AI into business processes, powered by high-quality data and next-gen search architecture. We do this by designing, developing and operating AI platforms, custom solutions, and digital assistants that simplify work across SAP and deliver business value.
We work in agile, autonomous teams with a culture of trust, creativity, and continuous learning. If you're passionate about AI and want to help shape the future of enterprise technology—this is the place to be.
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: 439753 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Part Time or Regular Full Time |
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SAPについて

SAP
PublicThe 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
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