We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 

Summary:

We are searching for an experienced Sr AI/ML Data Engineer with strong data science expertise to join our newly formed team working on Generative AI and Foundation Models development for ABAP in Newport Beach. This dynamic team is at the forefront of SAP’s cloud transformation efforts, leveraging large language models to accelerate our customers’ data and code transformation. The team collaborates closely with established teams in Europe and India, various SAP stakeholders, UC Irvine, and early adopter customers. You will play a key role in shaping our infrastructure and aligning with data engineers of ABAP Foundation Model teams globally. 

What you’ll do: 

• Infrastructure Development: Oversee the design, implementation, and maintenance of the team’s infrastructure for data processing and model training. 

• Collaboration: Engage with stakeholders and manage cross-functional relationships to align infrastructure among teams. 

• Leadership: Mentor data engineers, promoting best practices and innovative solutions. 

What you bring:

• Educational Background: Master’s degree in Computer Science, Data Engineering, or a related field. 

• Experience: 5+ years of experience in data engineering, preferably compliant handling of sensitive customer data. 

• Technical Proficiency: Expertise in data pipeline construction, optimization, and management, and significant experience with frameworks such as pachyderm, advanced proficiency in Python and SQL, preferably with SAP HANA. 

• Communication: Exceptional verbal and written communication skills. 

• Leadership: Demonstrated ability to lead and mentor teams and drive strategic initiatives. 

Meet your team: 

The ABAP Foundation Model team is pioneering AI innovations within the SAP ABAP ecosystem. It is an integral part of the Generative AI foundation within Business AI at SAP. We focus on creating and refining our own Foundation Models using SAP Business Data, pushing the boundaries of what’s possible with AI in business applications. By joining our team, you’ll be an integral part of shaping the future of AI at SAP and driving significant advancements in the field. 

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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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.

EOE AA M/F/Vet/Disability

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 129800 - 220900(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 404239 | Work Area:Software-Design and Development  | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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