
The best-run businesses run SAP.
Expert AI Developer in Enterprise Performance Management team
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 build
You will help build the next generation of SAP Business AI for Enterprise Performance Management (EPM) and Financial Planning & Analysis (FP&A), embedding LLMs, predictive forecasting, agents, and RAG directly into SAP’s financial core.
Our vision is to transform FP&A into a decision‑intelligence hub that unifies data across finance, supply chain, and HR. Through agentic workflows and generative insights, we enable organizations to not only predict the future but to shape it, ensuring that every financial decision is grounded in deep, cross-functional context and global compliance. This AI‑native approach turns finance teams into strategic partners who can predict and shape future outcomes.
As a greenfield initiative, you’ll help define the technical architecture from scratch. Supported by SAP’s latest technologies — BTP, SAP Analytics Cloud, and Business AI — you’ll decide how to combine them into a category‑defining product.
Responsibilities:
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Lead the design and architecture of advanced AI systems from concept to enterprise production.
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Architect and optimize complex workflows including multi‑step reasoning, autonomous agents, and large‑scale RAG pipelines.
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Define best practices for cloud-based AI architecture, deployment, observability, and Responsible AI.
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Translate business requirements into scalable, secure, and future ready technical solutions.
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Provide architectural guidance and mentorship to engineering teams and contribute as a top tier individual contributor.
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Solve challenges in performance, cost-efficiency, and model reliability at enterprise scale.
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Shape the LLM integration strategy for SAP financial systems and represent the team in global AI forums.
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Support CI/CD, MLOps, and automated model lifecycle management across environments.
What you bring
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8+ years of engineering experience ideally including exposure to AI/ML engineering
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Expertise in AI system design (reasoning, agents, RAG, distributed pipelines).
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Strong Python skills (preferred) Java or similar, plus solid engineering fundamentals.
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Experience building cloud-based AI architectures using Docker, Kubernetes, and Azure/AWS.
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Strong knowledge of AI frameworks, vector databases, embeddings, retrieval, and evaluation.
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A track record of solving high complexity AI problems at scale or with novel architectures.
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Ability to set long-term technical direction and influence global engineering stakeholders.
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Hands-on ability to resolve deep architectural issues in complex codebases.
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Strong communication skills and a proactive, problem solving mindset.
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Strong written and verbal communication skills in English.
Nice to have but not a must
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Experience with Lang Chain, CrewAI, or other multi-agent/GenAI frameworks.
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Experience with MLFlow or advanced MLOps tooling.
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Exposure to Scrum, SAFe, or Jira.
Where you belong
SAP powers the world’s most mission critical business processes and our new engineering hub in SAP Labs Brno taking on one of the most ambitious initiatives in enterprise technology: transforming how global companies plan, forecast, and steer their business.
You’ll help turn static financial processes into autonomous, AI‑driven systems used by global enterprises. If you want to grow quickly, learn from experienced engineers, and build AI with real impact, this is where you belong.
Our benefits
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You will get initial training on technical and business topics
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SAP will provide continuous training to increase your qualification
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Flexible working hours and home office option
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SAP will fully refund salary for sick days (12 per year) and sick leaves (up to one month)
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5 weeks of vacation per year
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Meal vouchers, fully paid by company
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Company car and company phone according to the company car policy
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Contribution to sport/culture/leisure
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Yearly bonuses, employee stock purchase plans
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Contributions to the pension/life insurance
#SAPBrno Careers, #EPMhiring 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: 444095 | 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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