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SAP
SAP

The best-run businesses run SAP.

AI Platform Engineer

직무DevOps
경력미들급
근무오피스 출근
고용정규직
게시2개월 전
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필수 스킬

TypeScript

AWS

GCP

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 Product Development & Design

  • Design, develop, deploy, evaluate, optimize & scale (multi) agent AI solutions for real-world business challenges

  • Design and implement full-stack Generative AI features using TypeScript, Fiori UI5, SAP CAP, and SAP AI Core

  • Architect & integrate APIs to build agent flows, LLM orchestration, & multi-agent systems using Lang Chain, CrewAI, Auto Gen, Google-ADK

  • Configure and evaluate Large Language Models (LLMs), prompts, and Retrieval-Augmented Generation (RAG) pipelines to optimize performance

Build, Deploy & Operate

  • Build & scale CI/CD, Agent Ops pipelines for managing the E2E agent lifecycle monitoring, evaluation & continuous improvement using LLM Judge concepts and Agent Ops frameworks (e.g., MLFlow 3.0, Lang Fuse)

  • Support cloud deployment, operations, and maintenance on the SAP Cloud Foundry environment

  • Ensure reliability, observability, and compliance of deployed AI solutions

  • Guarantee production readiness by focusing on code quality, security, and performance across all solutions

Quality & Collaboration

  • Act as a quality gatekeeper by reviewing peer code and upholding best practices

  • Balance priorities — "doing the right things" while ensuring quality and maintainability "doing things right"

  • Collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization

  • Take full responsibility for achievement of the squad's goals

  • Adhere to the standards set by architects, security & other SMEs

Guidance & Continuous Improvement

  • Provide engineering guidance to unblock teams and mentor fellow engineers

  • Experiment with emerging AI frameworks & architectures

  • Refactor solutions to stay consistent with latest enterprise standards

  • Proactively self-improve & share expertise with the squad

  • Give & receive feedback regularly to improve processes

Accountability

  • Responsible for delivery of outcome of assigned sub projects

  • Works independently within given area of responsibility (within defined policies and processes)

  • Contributes to milestones

What You Bring Required Qualification & Certifications

  • Bachelor's or master's degree in computer science or similar field

  • 5 to 8 years of relevant working experiences

  • SAP, AWS, GCP, Azure certifications (desirable)

Core Technical Skills

  • Advanced coding skills in Python (preferred) or Java

  • Strong experience with TypeScript, Fiori UI5, and the SAP Cloud Application Programming Model (CAP)

  • Expertise in developing LLMs and agentic solutions & microservices (FastAPI, Flask, Django, Quart, SAP BTP)

  • Experience with CI/CD, MLOps (Jenkins, GitHub Actions, MLFlow)

Generative AI & Agentic Systems Expertise

  • LLM orchestration & multi-agent frameworks (e.g., Lang Chain, CrewAI, Haystack, Auto Gen)

  • Hands-on experience integrating LLMs into enterprise systems, with strong understanding of RAG, prompt engineering, and AI safety principles

  • Evaluation & observability of AI system performance

Enterprise, Cloud & Infrastructure Experience

  • Proven experience with SAP Cloud Foundry and deep understanding of enterprise-level compliance requirements

  • Ability to integrate & scale AI solutions leveraging cloud environments (Azure/AWS/GCP) and containerization (Docker, K8s)

  • Experience with model deployment, monitoring, and rollback pipelines

Data & Responsible AI

  • Data pipelines, ETL, and quality management

  • Knowledge of responsible AI, security, and data privacy (GDPR, AI EU Act)

  • Awareness of bias, fairness, and explainability in AI deployments

Candidates can be considered for Senior Engineer position (depending on prequsities).

Meet your team

Join SAP’s Enterprise AI CoE — where innovators shape, govern, and scale AI. We drive the latest AI solutions, empower colleagues worldwide, and set the standard for responsible, enterprise-ready AI.

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: 447835 | 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

SAP

Public

The 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