AI Expert Software Engineer

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. 

Key Responsibilities

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  Architect AI Systems: Design end-to-end AI/ML solutions, from data pipelines to model deployment, ensuring scalability, reliability, and performance.

  
  


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  Lead Model Development: Build, fine-tune, and optimize machine learning and deep learning models (e.g., NLP, computer vision, generative AI).

  
  


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  Productionize AI: Develop robust MLOps pipelines, including CI/CD for models, monitoring, retraining, and versioning.

  
  


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  Drive Technical Strategy: Define AI best practices, select appropriate tools/frameworks, and guide long-term AI architecture decisions.

  
  


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  Mentor & Lead: Provide technical leadership, mentor engineers, and review code and system designs.

  
  


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  Collaborate Cross-Functionally: Work with product, data, and business teams to translate requirements into AI-driven solutions.

  
  


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  Ensure Responsible AI: Implement ethical AI practices, including fairness, explainability, privacy, and security.

  
  


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  Stay at the Cutting Edge: Evaluate and integrate emerging AI technologies, frameworks, and research into production systems.

  
  

What you bring

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  7+ years of software engineering experience, with deep expertise in AI/ML systems.

  
  


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  Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch).

  
  


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  Proven experience deploying ML models in production environments at scale.

  
  


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  Deep understanding of:

  
  
  
  
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    Machine learning algorithms and model evaluation

    
    
  
  
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    Distributed systems and cloud platforms (AWS, GCP, or Azure)

    
    
  
  
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    Data engineering and large-scale data processing

    
    
  
  
  
  


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  Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow).

  
  


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  Solid software engineering fundamentals: system design, testing, performance optimization.

  
  

Preferred Qualifications

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  Experience with LLMs, generative AI, or multimodal systems.

  
  


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  Background in real-time AI systems or high-throughput environments.

  
  


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  Contributions to open-source AI projects or published research.

  
  


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  Familiarity with vector databases, RAG architectures, or AI agents.

  
  

Key Traits

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  Strategic thinker with strong problem-solving skills.

  
  


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  Ability to balance research innovation with production practicality.

  
  


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  Strong communication skills for both technical and non-technical audiences.

  
  


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  Ownership mindset with a passion for building impactful AI system
  
  
  

  
  
  
  

  Meet Your Team 

  
  
  
  
  
  

   
   
  We’re a highly diverse and cross-functional team that actively embraces new technologies to bring real improvements to the end-user experience. At the same time, we aim for rock-solid operations, which is why we invest heavily in automated tests to ensure smooth and reliable releases to production. 
   
  We work in an Agile/Scrum setup, collaborating closely across locations. 

  
  
  
  

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: [email protected].

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: 450726  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid