Forward Deployed Application/ML Engineering Expert

About SAP and the Role

SAP is seeking a Forward Deployed Application/ML Engineering Expert to join their team in Riyadh, Riyadh. This full-time role involves designing, building, and operating AI-native enterprise applications that integrate cloud-native software engineering with production-grade machine learning and agentic AI capabilities. These applications are directly embedded within customer environments and fast-moving delivery teams.

Role Overview

The expert will translate ambiguous business and operational requirements into secure, scalable, and reliable solutions. This includes owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. The role requires accountability for the technical quality, reliability, and impact of application solutions, applying modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.

Key Responsibilities

• Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.
• Embed directly into customer projects and cross-functional teams to understand business processes, technical landscapes, and operational challenges.
• Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.
• Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to enterprise constraints.
• Own application delivery end-to-end, from problem framing and prototyping through deployment, observability, and production operations.
• Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.
• Ensure delivery milestones, quality standards, and technical objectives are met, managing risks and technical escalations within scope.
• Act as a key technical interface to customers and internal stakeholders, communicating solution approaches, trade-offs, and progress.
• Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.

Required Experience

• Candidates should possess 5-10 years of relevant experience in application and machine learning engineering.

Work Environment and Team

This role is part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. The team fosters a collaborative, high-impact environment that combines deep AI expertise, strong industry knowledge, and regional understanding to support customer innovation and transformation. The team focuses on converting complex business challenges into practical, scalable solutions, valuing curiosity, ownership, and continuous learning.

Candidate Profile

The ideal candidate is customer-centric, motivated by meaningful outcomes, and capable of navigating ambiguity within a rapidly evolving AI landscape. This role offers opportunities for constant learning, skill growth, and collaboration within a supportive team environment.