(Mid to Senior) AI Software Developer

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

We are looking for a (Mid to Senior) AI Software Developer who can drive (gen)AI development and lead our engineering scrum teams as technical code and architecture owner. The candidate will have profound skills in Data Science, Data Engineering and Software Engineering for our IT agile team, with an entrepreneurial spirit to join our diverse team and work on innovation projects.

The Role

In this role, you will drive internal AI adoption across different Lines of Business (LOBs) within the company. You will collaborate with other engineers to develop AI services, taking projects from proof of concept to full production deployment. This position involves close partnership with AI Platform engineers and stakeholders from various departments. You will work with cross-functional teams to contribute to our evolving AI-first tech stack, address diverse and rapidly changing challenges, and thrive in a fast-paced environment that offers continuous learning. Additionally, you will help define and promote best practices for AI engineering excellence throughout the organization.

Responsibilities

Lead and develop AI services from PoC to Production
Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services
Develop GenAI/AgenticAI solution designs
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps
Take ownership over AI services in development and production
Guide and mentor junior colleagues and evolve their AI engineering skillset

What you bring

Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields
Vast coding knowledge in Python
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) is beneficial
Exceptional understanding and coding experience of genAI/ agenticAI frameworks such as crewAI / langgraph etc.
Proven hands-on expertise in code-based LLM consumption from platforms such as OpenAI or Huggingface
Track record of using Python backend development frameworks such as e.g. Flask, Django, Quart or FastAPI
Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit
Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.
CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.
Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP
Some form of code ownership and scrum team leadership experience
Curiosity to learn about different AI applications and new technologies in general
Excellent spoken and written knowledge of English as well as collaborative mindset
Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus
Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus

Meet your team

SAP Intelligent Enterprise Solutions (IES) department has the purpose to “Deliver and Run the Intelligent Enterprise”. IES is SAP’s technology backbone and most compelling reference customer, and as such, we influence product development and strategy, with our customer experience at heart.

Within IES, our “Artificial Intelligence CoE” team has the purpose to help SAP to transform into a data-driven intelligent enterprise, by empowering SAP employees to simplify processes, leveraging AI technologies. Our vision is to be an advocate and enabler of best-in-class AI within SAP. Our mission is to deliver business value through AI in SAP’s processes and be recognized as AI Thought Leader in the market.

We implement both standard SAP AI and custom built solutions across all LoBs. We are customer zero of SAP standard AI solutions and provide continuous feedback to standard development for product improvement. We provide an AI Platform and Infrastructure to entire SAP AI practitioners for building their own ML solutions in the entire ML lifecycle following MLOps methodology. Furthermore, we build and operate a central chatbot platform based on SAP Conversational AI with the aim to provide capabilities from all lines of business through a single digital assistant. We also build those capabilities (individual chatbots) as well as support other teams in building further ones.

Within our team, we practice a trust-based working model with emphasis on great collaboration, agility and transparency. We offer a lot of room for creativity and freedom to experiment. Our operating model is based on autonomous/agile team concept (SAFe) and SAP New Work practice where we put people at the center of everything we do.

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.

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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.

By submitting my application for this job position I accept SAP’s Data Privacy Statement.

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