Forward Deployed​/ML Engineering Expert

Position: Forward Deployed Application/ML Engineering Expert
# Forward Deployed Application/ML Engineering ExpertSAPSaudi Arabia
- Riyadh Posted 27 October 2026

Linked In Direct  employer

Enterprise

Top-rated employer

Growth-stage

Location

Saudi Arabia
- Riyadh Job type

Hybrid

Experience8-12 years

SalaryUSD 12k–18k/mo (est.)Apply on Linked In## 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 to platform or operations  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 product ionize 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 Core Vectorization Joule  Studio Business Data Cloud Python Machine  Learning Large 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 Linked In. Jobze.ai is not the employer and does not take applications - they are handled on the original site.