Forward Deployed Application / ML Engineering Expert – SAP

JOBZE; Riyadh; Hybrid; SAR 391,000 - 558,000; Full time

Job summary

SAP Riyadh is seeking an Forward Deployed Application / ML Engineering Expert to design and deliver AI-native enterprise applications that combine cloud-native engineering, machine learning, generative AI and agentic AI across global customers.

You will work on LLMs, RAG, vector databases, AI agents, production deployment, and observability, collaborating with customers and cross-functional teams to move from discovery to production, with a hybrid work model in Riyadh.

Qualifications

• Experience building enterprise AI applications.
• Proficiency with cloud-native architectures.
• Hands-on with large language models (LLMs) and GenAI.

Responsibilities

• Develop and operate AI-native enterprise applications.
• Implement LLM, RAG, and AI agent workflows.
• Design data pipelines and MLOps processes.
• Deliver production deployments and observable systems.
• Collaborate with customers and cross-functional teams.

Skills

Python

AI frameworks

GenAI

LLM development

RAG architectures

Vector databases

Agentic AI

Cloud architecture

MLOps

APIs

Docker

Kubernetes

CI/CD

System design

Tools

Docker

Kubernetes

CI/CD

Job description

# Forward Deployed Application / ML Engineering Expert – SAPSAPSaudi Arabia - RiyadhPosted 06 October 2026LinkedIn PostsDirect employerTop-rated employerEnterpriseLocationSaudi Arabia - RiyadhJob typeHybridExperience6-12 yearsSalarySAR 35k–50k/mo (est.)Apply on LinkedIn Posts## Job descriptionHIRING | Forward Deployed Application / ML Engineering Expert – SAPLocation: Riyadh, Saudi ArabiaCompany: SAPWork Model: HybridEmployment: Regular Full-TimeRequisition ID: 457077Expected Travel: 0–10%SAP is hiring a Forward Deployed Application / ML Engineering Expert to build and operate AI-native enterprise applications combining cloud-native engineering, Machine Learning, Generative AI and Agentic AI.What you'll work on:• Large Language Models (LLMs)• Retrieval-Augmented Generation (RAG)• Agentic AI & AI Agents• Vector Databases & Vector Search• Enterprise AI Applications• Cloud-native architecture• AI evaluation & responsible AI• Production deployment & operations• MLOps / AI-assisted engineering• Customer-facing AI solution deliveryKey Skills:• Python + AI/ML frameworks• LLM / GenAI application development• RAG architectures• Vector databases• Agentic AI workflows• Data pipelines & MLOps• Cloud architecture• APIs / enterprise application development• Docker / Kubernetes / CI/CD• Scalability, security & reliability• System design & technical leadershipSAP AI technologies – strong advantage:SAP AI Core | SAP Vectorization | Joule Studio | RPT-1 | SAP Business Data CloudIdeal Candidate:Someone who can take an ambiguous enterprise problem from discovery → rapid prototype → production deployment → observability → handover/operations, while working closely with customers and cross-functional teams.Why this role?An excellent opportunity for experienced AI Engineers, ML Engineers, GenAI Engineers and AI Application Engineers who want to work on enterprise-scale AI transformation with SAP across global customers.