Senior Software Architect / Senior Software Engineer with Python

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 Do:

Do you thrive in collaborative environments and enjoy building tools that empower others? Are you passionate about data, AI and new technologies?

Join us as a Senior Phython Developer/ AI Engineer in the Customer Engagement and Innovation Delivery (CEID) organization. In this role, you will play a pivotal part in designing and developing modern, best-in-class IT applications that drive innovation and deliver exceptional value to our stakeholders.

We are looking for a highly skilled Senior Python Developer with strong experience in Generative AI to design, develop, and deploy AI-powered applications and intelligent systems. You will play a key role in building scalable backend services, integrating large language models (LLMs), and translating business use cases into production-ready AI solutions.

This role combines deep Python engineering expertise with hands-on experience in modern AI frameworks and GenAI technologies.

The team is responsible for the ownership and continuous development of ONE360, a customer information system that serves as a central workspace for SAP. ONE360

consolidates and delivers critical customer insights and tools, enabling strategic decision-making and proactive management of customer and partner accounts. As one of SAP’s most widely used customer information systems, ONE360 holds significant strategic importance within the organization.

Key responsibilities are

• Design and develop scalable backend systems and APIs using Python
• Build and deploy Generative AI solutions leveraging LLMs and related tooling
• Integrate foundation models (OpenAI, open-source LLMs, etc.) into enterprise applications
• Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning workflows
• Develop data pipelines for AI model training and inference
• Optimize model performance, latency, and cost efficiency
• Collaborate with product managers, data scientists, and DevOps teams
• Ensure production-grade reliability, monitoring, and security of AI services
• Stay current with advancements in AI, ML, and LLM ecosystems
• Continuously develop AI engineering expertise by learning new skills and applying them to improve solutions, tooling, and operational practices

What You Bring:

• Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
• 3-5 years of professional Python development experience
• 1-2 years working with AI/ML systems, preferably including Generative AI
• Strong experience with Python frameworks (FastAPI, Flask, Django)
• Hands-on experience with LLMs and APIs (e.g., OpenAI, Anthropic, open-source models)
• Experience with LangChain, LlamaIndex, or similar orchestration frameworks
• Solid understanding of embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization (Docker) and CI/CD pipelines
• Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
• Fluent English and Ability to operate in fast-moving environments
• Collaborative, problem-solving and innovation mindset
• Understanding of Agile/SAFe methodologies

Nice to have but not a must:

• Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala)
• Hands-on experience with genAI / agenticAI frameworks such as crewAI, langgraph, etc.
• Expertise in code-based LLM consumption from platforms like OpenAI or Huggingface
• Curiosity to explore different AI applications and emerging technologies
• Experience with SAP AI offerings such as AI Core, AI Business Services, Joule

Meet Your Team

The team in SAP’s internal IT organization defines and implements SAP’s internal Customer and Partner 360° dashboards, empowering internal stakeholders with fast, secure, and trusted data. Our mission is to enable data‑driven decision‑making and efficient daily operations, ultimately strengthening how SAP supports its customers.

We are a cross-functional group of requirements engineers, data specialists, and developers dedicated to maintaining and continuously improving the ONE360 Dashboard and driving AI agentic use cases across the ONE360 data foundation. We work closely with business stakeholders, backend engineering teams, and architects to deliver innovative, high‑quality solutions with a strong focus on data quality and exceptional user experience.

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: 447245 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid