Junior AI Engineer
SAP
Job Overview
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Job Description
Junior AI Engineer at SAP
At SAP, we believe in bringing out the best in you while you help us build the future. Touching over 20 industries and 80% of global commerce, we rely on unique talents to shape what's next. This role offers challenging work that truly matters, a supportive environment that prioritizes your wellbeing, continuous learning, skill growth, and great benefits. Join a team dedicated to your success.
What You'll Build
We are seeking a Junior AI Engineer to contribute to the design and development of high-quality AI solutions that enhance cloud development processes at SAP. You will play a crucial role in creating scalable generative AI and multi-agent systems and products with measurable business impact. The ideal candidate will combine strong software engineering skills, a deep understanding of data and MLOps practices, and hands-on experience with modern AI frameworks.
You will collaborate closely with other engineers, AI Product Owners, data scientists, and architects to transform AI concepts into reliable, production-ready systems. Your responsibilities will include designing and implementing AI solutions, setting up and developing big data pipelines, and ensuring high standards of scalability, observability, and compliance. This role thrives in an agile, collaborative environment that values continuous learning, engineering excellence, and innovation, helping to shape the next generation of enterprise AI solutions at SAP.
Responsibilities
- Design, develop, and deploy AI and generative AI services and solutions from proof of concept to full enterprise production.
- Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems.
- Implement CI/CD and MLOps practices to automate model training, testing, and deployment.
- Collaborate with Product Owners and data scientists to translate requirements into technical specifications.
- Develop and integrate multi-agent AI and LLM-based products and solutions.
- Ensure reliability, observability, and compliance of deployed AI solutions.
- Guide and mentor junior colleagues to foster AI engineering excellence across teams.
What You Bring
- Degree in computer science or a similar field.
- Strong coding skills in Python (preferred) or Java, with a solid understanding of software engineering principles.
- Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow).
- Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS).
- Hands-on experience with data ETL, APIs, and model deployment workflows.
- Knowledge of distributed systems and data platforms for big data.
- Understanding of Agile, SAFe methodologies, and collaborative engineering practices.
- Fluent English and a proactive, problem-solving mindset.
Nice to Have (but not a must)
- Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI).
- Familiarity with SAP AI Core, SAP BTP.
- Experience with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira).
If you don’t have experience in all these areas, SAP will provide the resources and training you need to become a leader in cutting-edge AI technologies.
Where You Belong
As part of the Hyperspace AI Accelerators team, you will help build next-generation agentic AI solutions and integrate AI into engineering roles across SAP. This team creates scalable, reliable platforms and frameworks—covering AI-agentic capabilities, MCP servers, and connecting systems—to enhance developer productivity and modernize engineering workflows.
We focus on delivering forward-looking yet maintainable solutions. Collaboration is central: we partner closely with teams and stakeholders, value open communication, and continuously learn. Your work will directly influence how engineering teams build software, from AI-assisted development to ensuring MCP data availability and driving adoption.
We are looking for curious, thoughtful engineers who enjoy solving complex problems and building impactful systems.
Key skills/competency
- AI Engineering
- Generative AI
- Multi-agent Systems
- Python
- MLOps
- Data Pipelines
- Cloud Platforms (Azure ML, AWS, Databricks)
- Kubernetes
- Microservices
- CI/CD
How to Get Hired at SAP
- Research SAP's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to innovation and inclusion.
- Tailor your resume for AI: Customize your resume to highlight Python, MLOps, cloud experience (Azure ML, AWS), and any generative AI or multi-agent system projects, aligning with the Junior AI Engineer role requirements.
- Showcase your projects: Prepare a portfolio or detail specific projects where you've applied AI/ML, data pipelines, or CI/CD practices. Quantify impact where possible.
- Prepare for technical interviews: Expect questions on Python coding, data structures, algorithms, MLOps concepts, distributed systems, and cloud-native AI services relevant to SAP's tech stack.
- Demonstrate problem-solving: Be ready to discuss how you approach complex AI engineering challenges and collaborate within an agile development environment, emphasizing your proactive mindset.
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