Senior Forward Deployed AI Engineer

SAP; 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

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. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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. This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers.

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, adapting to feedback and evolving requirements.
• Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge.
• Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.
• Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.
• Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality.

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.
• Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.
• Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.
• 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.

Where you belong:

You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [e-mail].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 457234 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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