Forward Deployed AI Engineer

Role Overview

In This Role, You Will

• Contribute to production-grade, cloud-native applications integrating large language models, retrieval-augmented generation pipelines, and agent-based components.
• Work within customer projects and cross-functional delivery teams to understand business processes, technical landscapes, and customer needs.
• Implement features, components, and integrations under the guidance of senior engineers while maintaining code quality and 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 for reliability and operational stability.
• Contribute to documentation, reusable components, and engineering best practices.
• Stay current with AI and machine learning developments and apply new techniques and tools to improve solution quality.

What You Bring

• Solid foundational software engineering skills with proficiency in Python and hands-on experience in at least one cloud-native development environment.
• Growing understanding of AI and machine learning concepts, including familiarity with large language models, machine learning frameworks, and API-based AI services.
• Exposure to data pipelines, MLOps concepts, or AI and machine learning model integration in application contexts.
• Ability to work collaboratively, follow engineering standards, and take ownership of assigned tasks.
• Curiosity, adaptability, and a growth mindset with motivation to learn quickly in a high-paced environment.
• Basic understanding of AWS, Azure, or GCP and familiarity with Git, Docker, and CI/CD pipelines.
• Strong communication skills and ability to work effectively in cross-functional and customer-facing settings.
• Interest in or early exposure to SAP AI Core or SAP Business Technology Platform is a plus.

Company and Team Context

Role Details

• The source lists expected travel of 0 to 10 percent.
• The source identifies the employment type as Regular Full Time and the career status as Professional.