Enterprise AI Engineer — Production-Grade Solutions (Hybrid)

SAP SE; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

SAP SE is seeking an AI-enabled software engineer to contribute to the design, development, and operation of AI-native enterprise applications. You will work within customer projects and cross-functional teams, applying machine learning and AI techniques to real-world business problems under guidance from senior engineers.

You will build production-grade solutions, integrate AI capabilities, and learn to understand business processes and technical landscapes across global delivery contexts.

Qualifications

• Solid foundation in software engineering and Python.
• Growing understanding of AI/ML concepts and related frameworks.
• Ability to work in cloud-native development environments and follow engineering standards.
• Familiarity with Git, Docker, and CI/CD pipelines.
• Strong communication and teamwork skills.

Responsibilities

• Contribute to design, development, and operation of AI-native enterprise apps.
• Work in delivery teams to understand business processes and customer needs.
• Implement features and integrations with guidance from senior engineers.
• Support prototyping, testing, and iteration of AI solutions.
• Participate in code reviews and design sessions to grow engineering skills.
• Assist with monitoring, troubleshooting, and improving deployed solutions.

Skills

Python

Cloud-native development

AI/ML concepts

Git

Docker

CI/CD pipelines

Team collaboration

Curiosity/growth mindset

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

SAP SE is seeking an AI-enabled software engineer to contribute to the design, development, and operation of AI-native enterprise applications. You will work within customer projects and cross-functional teams, applying machine learning and AI techniques to real-world business problems under guidance from senior engineers.

You will build production-grade solutions, integrate AI capabilities, and learn to understand business processes and technical landscapes across global delivery contexts.