トレンド企業

SAP
SAP

The best-run businesses run SAP.

Senior AI Engineer for Customer Engagement Insights

職種機械学習
経験シニア級
勤務オンサイト
雇用正社員
掲載1ヶ月前
応募する

必須スキル

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.

  • Engineer robust data and application pipelines for LLM-powered products, including retrieval-augmented generation (RAG).

  • Introduce and mature Agent Ops capabilities to manage and automate the lifecycle of AI agents and LLM applications.

  • Ensure production reliability of AI systems through strong observability, monitoring, and compliance practices.

What you bring:

  • Degree in computer science (or similar field)

  • 5+ Years in Software Engineering

  • Fluent English with a hands-on, solutions-oriented way of thinking

  • Proven hands-on experience in developing and deploying LLM applications.

  • Advanced coding skills in Python or Java, with a solid understanding of software engineering principles.

  • Familiarity with Agent Ops tools such as Lang Smith, Lang Fuse, or MLflow for tracing and observability.

  • Experience implementing CI/CD pipelines in cloud environments (e.g., Azure, AWS) using tools like Docker, Kubernetes, and GitHub Actions.

  • 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