Senior AI Data Engineer

Job Description

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

Join our mission to revolutionize enterprise data management through artificial intelligence. As part of our team, you'll work at the forefront of intelligent data transformation, helping enterprises transition from legacy SAP systems to modern cloud platforms with clean, reliable data. We're building the next generation of intelligent data management systems that analyze data quality, detect inconsistencies, and provide automated remediation recommendations - empowering businesses to make data-driven decisions faster and more accurately than ever before.

Your work will directly impact how organizations worldwide prepare for cloud transformations, particularly ERP to S/4HANA migrations. You'll be designing and developing AI-powered features that automatically detect data quality issues across enterprise applications, creating intelligent agents that continuously refine error detection and provide guidance, and building scalable ML pipelines that analyze data health through KPIs. Working with technologies at the intersection of cloud platforms, microservices, and artificial intelligence, you'll help transform data preparation from manual cleanup into a proactive, system-driven process that prevents migration issues before they occur.

Responsibilities

· Design and develop AI-powered features for enterprise data management applications, integrating advanced machine learning models and intelligent agents into production systems

· Build robust, production-ready applications using full-stack development approaches, ensuring seamless integration of AI capabilities with enterprise systems

· Mentor and guide junior and mid-level developers, conducting code reviews, sharing best practices, and fostering technical growth within the team

· Collaborate with international team members, contributing to agile development practices and cross-functional initiatives

· Drive innovation by staying current with emerging AI/ML technologies, evaluating new frameworks and tools, and proposing improvements to existing solutions

· Ensure code quality and system reliability through comprehensive testing strategies, monitoring solutions, and CI/CD pipeline optimization

What You Bring

Required Experience & Qualifications:

· 5+ years of professional software development experience with demonstrated expertise in building complex, production-grade applications

· Strong proficiency in Java and Spring Framework ecosystem with deep understanding of object-oriented programming, design patterns, and software architecture principles

· Solid background in full-stack development, capable of working across frontend and backend technologies to deliver end-to-end solutions

· Extensive experience with cloud platforms and cloud-native development, including containers, orchestration, and managed services

· Deep understanding of microservices architectures, including API design, service communication patterns and event-driven systems

· Strong knowledge of data engineering principles, including data pipelines, ETL processes, data modeling, and working with large-scale datasets

· Proficiency with DevOps practices and tools, including CI/CD pipelines, infrastructure as code, monitoring, and automated testing

· Excellent problem-solving and analytical skills with ability to tackle complex technical challenges and make sound architectural decisions

· Strong communication skills in English with ability to articulate technical concepts clearly to both technical and non-technical stakeholders

Nice to Have:

· Proven experience developing AI/ML solutions, including hands-on work with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and deployment of ML models in production

· Familiarity with MLOps practices and tools for model lifecycle management

· Experience building and deploying AI agents or intelligent automation systems

· Background in data science, statistics, or advanced analytics

Where You Belong

You'll join an international, diverse team of passionate engineers who thrive on solving complex technical challenges and pushing the boundaries of what's possible with AI and data. Our team operates in a collaborative, innovation-driven environment where ideas are valued, experimentation is encouraged, and continuous learning is part of our culture.

We believe in flexibility and work-life balance, supporting hybrid work models and understanding that great work happens when people can bring their whole selves to the job. Whether you're collaborating with teammates in different continents or diving deep into a complex technical problem, you'll find a supportive environment that values both individual contribution and team success.

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: 445637 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid