(Senior / Expert) AI Developer / Engineer at Enterprise AI CoE
Role details
Job location
Tech stack
Job description
We are looking for a top-notch experienced (Senior / Expert) AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP's internal business organizations. You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging SAP's latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems. You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI across the enterprise domains., In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You'll design and implement AI solutions, setup and develop big data pipelines and ensure high standards of scalability, observability and compliance. You'll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions at SAP., * Design, develop and deploy AI and (gen)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
Requirements
- Degree in computer science or a similar field
- Advanced coding skills in Python (preferred) or Java, with 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 with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI) and AI models.
- 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