Forward Deployed Application/ML Engineering Expert
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- DubaiPosted 07 October 2026LinkedInDirect employerTop-rated employerEnterpriseGreat cultureLocationUnited Arab Emirates
- DubaiJob typeHybridExperience5-8 yearsSalaryAED 35k–50k/mo (est.)Apply on LinkedIn##
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. 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. What You Will Do: 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. Translate business and product requirements into robust application architectures. Rapidly prototype, iterate, and productionize solutions in customer environments. Own application delivery end-to-end. Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails. Ensure delivery milestones, quality standards, and technical objectives are met. Act as a key technical interface to customers and internal stakeholders. Contribute to engineering standards, best practices, and reusable components. What You Bring: Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments. Proven ability to design and deliver AI-native applications utilizing large language models, RAG architectures, vector databases, and agentic systems. 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. Strong problem-solving skills, critical thinking, and design thinking 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. Strong collaboration and communication skills.## SkillsSAP AI CoreVectorizationJoule StudioBusiness Data CloudPythonMachine LearningRAGLarge Language ModelsCloud-Native Architecture
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