AI Engineer for Customer 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.  

ABOUT US

SAP Corporate Processes and Information Technology (CPIT) organization, also known as SAP IT, has the purpose to “Deliver and Run the Intelligent Enterprise”. CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. To support the updated SAP AI Strategy and the company vision on Generative AI, we need to strengthen our team to accelerate delivery of Data & AI Cloud Solutions.

THE ROLE

We’re looking for an AI Engineer with solid background in Machine Learning and DevOps and with an entrepreneurial spirit to join our Data Science, AI and Big Data team and work on innovation projects.

As an AI Engineer, you will join our Sales and Customer Success AI Agile Team and work closely with Product Managers, Data Scientists, Engineers, Product Owners and Scrum Masters in an agile, cross-functional setup to help to deliver AI infrastructure as well as ML models for our customer’s use cases to provide business benefits and tackle customer’s pain-points through AI technologies. This will include working in a hybrid environment, handling multiple types of requests and collaborate across several nationalities and continents. Your passion for novel technologies, attention to detail, along with your collaborative mindset on how to improve processes, will ensure a continuous improvement across all teams.

WHAT YOU’LL DO

• Work on development and conceptual tasks along the entire AI product lifecycle as well as on technology-related enablement of AI Platform users within an agile team.

• Contribute to infrastructure maintenance and to building reusable enterprise-grade software components required for fast delivery of productive ML models, increased process automation and accelerated adoption of MLOps best practices across the AI lifecycle.

• Support in ML engineering, ML operations, Data Science tasks and maintenance of models including retraining and model optimizations with a solid Data Science and Data Engineering skillset.

• Take over technical responsibility for individual software components, data science models and ETL pipelines.

• Support our AI/ML architectures for sustainable production readiness.

• Automate AI infrastructures for the data science team.

• Contribute to team’s winning plan, present success story and contribute to the creation of product-related non-code-assets (such as rollout and knowledge transfer material).

• Educate customers, partners and stakeholders about AI/ML.

• Continuous learning and familiarization with state-of-the-art algorithms and technologies in agile software engineering, MLOps and AI.

WHAT YOU’LL BRING

• Bachelor’s or master’s degree in computer science, data science, engineering or related technical fields.

• At least 2+ years work experience in data science, data engineering and software development.

• Solid understanding of AI/ML concepts including Deep Learning, GenA, MLOps and AI lifecycle.

• Solid understanding of a variety of Python libraries and Machine Learning frameworks such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch.

• Experience in Python backend development such as FastAPI, Postgres, OpenAPI.

• Experience in DevOps practices and tools such as Jenkins, GitHub, XMake.

• Experience with development tools such as Jupyter, Docker, Kubernetes, Terraform, Github and major (ML) programming languages such as Python, Java etc. 

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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.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 394291  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

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