
The best-run businesses run SAP.
Senior AI Engineer for Customer Engagement Insights
필수 스킬
Python
Java
AWS
Docker
Kubernetes
Azure
Jira
Project Management
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.
Summary:
As a Senior AI Engineer, you will be a key member of the newly established A2C Insights & Data Foundation team. The team supports SAP’s vision of becoming a data-driven company by building a consistent and reliable data foundation that accelerates the development of best-in-class AI solutions, applications, and analytical dashboards.
The team’s work plays a critical role in SAP’s overall transformation and is a key building block in enabling data-driven innovation across the organization.
The Role:
In this role, you will partner with Product Owners, business stakeholders, and architects to turn bold ideas into production-ready AI solutions. You’ll design and implement cutting-edge AI systems, build robust big data pipelines, and ensure solutions meet the highest standards of scalability, observability, and compliance."
Role Requirements:
-
Work closely with data foundation and analytics experts to unlock the full potential of our data in an agile, collaborative environment.
-
Build and scale cutting-edge Generative AI and agent-based systems, taking ideas from early prototypes to production-grade solutions.
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Engineer robust data and application pipelines for LLM-powered products, including retrieval-augmented generation (RAG).
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Introduce and mature Agent Ops capabilities to manage and automate the lifecycle of AI agents and LLM applications.
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Ensure production reliability of AI systems through strong observability, monitoring, and compliance practices.
What you bring:
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Degree in computer science (or similar field)
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5+ Years in Software Engineering
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Fluent English with a hands-on, solutions-oriented way of thinking
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Proven hands-on experience in developing and deploying LLM applications.
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Advanced coding skills in Python or Java, with a solid understanding of software engineering principles.
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Familiarity with Agent Ops tools such as Lang Smith, Lang Fuse, or MLflow for tracing and observability.
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Experience implementing CI/CD pipelines in cloud environments (e.g., Azure, AWS) using tools like Docker, Kubernetes, and GitHub Actions.
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Experience with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira).
Optional, but preferred skills:
-
Experience in designing and building Knowledge Graphs
-
Familiarity with SAP AI Core, SAP BTP, SAP Busines Data Cloud (BDC)
-
Experience with Agentic AI Frameworks (e.g., Lang Graph, CrewAI, Microsoft Agent Framework)
Meet your team:
The A2C Insights & Data Foundation plays a key role in driving SAP’s transformation by strategically shaping and implementing a central data foundation cross Adopt to Consume purposes of our customers.
With this data foundation, we are able design and develop harmonized analytical insights across AI solutions, applications, and roles, breaking down siloed data structures and enabling simplified, accurate, and consistent data consumption for end users.
Ultimately, our goal is to ensure we as SAP best support our customers through reliable insights and a unified data experience.
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: 447269 | 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
PublicThe 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
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