Forward Deployed Application/ML Engineering Expert

JOBZE; Riyadh; Hybrid; SAR 502,000 - 753,000; Full time

Job summary

SAP Saudi Arabia – Riyadh is seeking an experienced SAP AI/ML Engineer to design, build, and operate production-grade, cloud-native AI-enabled applications. You will embed directly within customer projects and cross-functional teams to rapidly translate business requirements into scalable, secure architectures and delivery plans.

You will prototype, productionize, and operate solutions with strong emphasis on observability, reliability, and governance.

Qualifications

• Design and deliver AI-native enterprise applications in cloud-native environments.
• Proven ability to translate business requirements into scalable architectures with security and reliability.

Responsibilities

• Design, build, and operate production-grade cloud-native AI-enabled applications.
• Embed into customer projects and cross-functional teams to rapidly understand processes.
• Prototype, deploy, and productionize solutions with robust observability and ops readiness.
• Own delivery end-to-end from discovery to handover to operations.
• Ensure compliant, trustworthy AI practices and architectural guardrails.
• Communicate approaches, trade-offs, and progress to customers and stakeholders.

Skills

Python

Machine Learning

Large Language Models

RAG

Agentic AI

MLOps

Cloud-native

LLM integration

Tools

SAP AI Core

Vectorization

Joule Studio

Business Data Cloud

Vector databases

Cloud Foundry

Job description

# Forward Deployed Application/ML Engineering ExpertSAPSaudi Arabia - RiyadhPosted 27 October 2026LinkedInDirect employerEnterpriseTop-rated employerGrowth-stageLocationSaudi Arabia - RiyadhJob typeHybridExperience8-12 yearsSalaryUSD 12k–18k/mo (est.)Apply on LinkedIn## Job descriptionWe 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. In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions — owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams.In This Role, You Will:- 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 fast-moving cross-functional teams to rapidly 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 real-world 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, proactively managing risks and technical escalations within scope.- Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress.- Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.What You Bring:- Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.- Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows.- Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.- Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.- Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices.- Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage.- Experience owning solutions across the full application lifecycle — from design and implementation to deployment and production operations.## SkillsSAP AI CoreVectorizationJoule StudioBusiness Data CloudPythonMachine LearningLarge Language ModelsRAGCloud FoundryMLOps## What Jobze.ai noticed* SAP wants deep hands-on expertise in building production-grade AI-native applications using LLMs, RAG, and agentic workflows.* Expect close customer-facing engagement, embedding within delivery teams to prototype and deploy enterprise solutions.* Familiarity with SAP AI Core, Vectorization, and Business Data Cloud provides a distinct advantage.This role was published by SAP on LinkedIn. Jobze.ai is not the employer and does not take applications - they are handled on the original site.