Senior AI Engineer: Field Deployments & Cloud-Native

SAP SE; Riyad Al Khabra; Hybrid; SAR 150,000 - 210,000; Full time

Job summary

SAP SE is seeking an aspiring AI engineer to join our AI-native enterprise solutions team in Saudi Arabia. You will contribute to design, development, and operation of production-grade cloud applications that embed AI capabilities, working with senior engineers to deliver value to global enterprise customers.

You will learn to implement features, collaborate across delivery teams, and improve reliability while maintaining high engineering standards and rapid iteration in a fast-paced environment.

Qualifications

• Solid foundation in software engineering and Python.
• Growing understanding of AI/ML concepts and frameworks.
• Experience with cloud-native development and basic cloud platforms.

Responsibilities

• Contribute to the design, development, and operation of AI-native enterprise applications.
• Work within cross-functional delivery teams to understand business processes and customer needs.
• Implement features and integrations under guidance of senior engineers while maintaining quality.
• Support prototyping, testing, and iteration of AI solutions in customer environments.
• Participate in code reviews and design sessions to grow engineering skills.
• Assist with monitoring and improving deployed solutions for reliability.
• Contribute to reusable components and engineering best practices.
• Demonstrate a proactive learning mindset to stay current with AI/ML developments.

Skills

Python

Cloud-native development

AI/ML concepts

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Git

Docker

CI/CD

Job description

SAP SE is seeking an aspiring AI engineer to join our AI-native enterprise solutions team in Saudi Arabia. You will contribute to design, development, and operation of production-grade cloud applications that embed AI capabilities, working with senior engineers to deliver value to global enterprise customers.

You will learn to implement features, collaborate across delivery teams, and improve reliability while maintaining high engineering standards and rapid iteration in a fast-paced environment.