AI Engineer Data Management

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

What Youll Build

Join our mission to transform how enterprises manage their data during cloud transformation journeys. Youll be at the heart of building intelligent AI agents that bridge the gap between legacy systems and modern cloud landscapes ensuring organizations migrate on clean reliable and consistent data. These agents will detect data quality issues such as missing references incomplete structures and functional errors across complex enterprise landscapes. Youll work with large language models agentic frameworks and modern AI technologies to build a learning system that adapts and improves over time helping customers reduce data preparation effort by 25% and project duration by 10%.

Responsibilities

• Design and implement AI agents for automating data quality analysis including error detection and automated remediation recommendations
• Build optimize and maintain prompt engineering solutions to extract actionable insights and generate meaningful recommendations
• Develop and implement robust quality and evaluation frameworks to measure monitor and enhance agent performance accuracy and reliability within production environments
• Apply classical machine learning and state-of-the-art generative AI to deliver effective solutions.

What You Bring

Required Experience & Qualifications:

• 2 years of professional software development experience with hands-on Java or Python programming in production environments
• Experience building applications using agentic frameworks such as LangChain LangGraph or similar orchestration tools
• Knowledge of AI agent design patterns including reasoning planning tool use and memory management
• Understanding of quality assurance and evaluation techniques for AI systems
• Strong problem-solving skills
• Fluency in English both written and spoken

Nice to Have:

• Familiarity with MCP servers or AI skills for exposing AI capabilities as composable services
• Knowledge of vector databases RAG (Retrieval-Augmented Generation) or semantic search
• Experience with cloud platforms (e.g. AWS GCP Azure) and cloud-native development practices
• Familiarity with SQL for data analysis and working with large-scale datasets
• Practical experience in fine-tuning AI/ML models
• Strong data science background and hands-on experience with Databricks

Where You Belong

Youll join a collaborative team thats passionate about applying AI to solve real-world enterprise challenges. We value curiosity experimentation and continuous learning. We embrace a culture of flexibility and work-life balance supporting hybrid work models and asynchronous collaboration. Youll have the opportunity to grow your expertise in both AI engineering and enterprise data management learning from experienced colleagues while contributing your own ideas and innovations. Youll find a supportive environment that values both technical excellence and team collaboration.

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
SAPs 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:

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: 445640 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid