Senior Forward Deployed AI Engineer

SAPSaudi Arabia - RiyadhPosted 07 October 2026
LinkedInDirect employerTop-rated employerEnterpriseGreat culture
Location
Saudi Arabia - Riyadh
Job type
Hybrid
Experience
3-5 years
Salary
SAR 18k–25k/mo (est.)
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Job description

We help the world run better. 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. What You'll Build: In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of senior engineers and technical leads. In This Role, You Will: Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components. Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs. Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards. Support prototyping, testing, and iteration of AI solutions in customer environments. Participate in code reviews, technical discussions, and design sessions. Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability. What You Bring: Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment. Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services. Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts. Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks. Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines. Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings. An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.

Skills

PythonTensorFlowPyTorchScikit-learnSAP AI CoreSAP Business Technology PlatformGitDockerCI/CD

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