Senior Forward Deployed AI Engineer (Riyadh, SA, 11435)

SAP
Riyadh
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Accountability","Communication","Proactive learning","Curiosity"]

Design, develop, and operate AI-native, production-grade cloud applications within customer-embedded delivery teams. Build features that integrate large language models, RAG pipelines, and agent-based components, and collaborate with engineers to translate business needs into scalable solutions. Support prototyping, testing, code reviews, and troubleshooting deployed systems to ensure reliability. Contribute to reusable components and documentation while staying current with AI/ML advancements.

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FursaFursa
SAP
SAP
2 hours ago

Senior Forward Deployed AI Engineer (Riyadh, SA, 11435)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and operate AI-native, production-grade cloud applications within customer-embedded delivery teams. Build features that integrate large language models, RAG pipelines, and agent-based components, and collaborate with engineers to translate business needs into scalable solutions. Support prototyping, testing, code reviews, and troubleshooting deployed systems to ensure reliability. Contribute to reusable components and documentation while staying current with AI/ML advancements.
Location: Riyadh
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Contribute to the design, development, and operation of AI-native enterprise applications within customer-embedded delivery teams.
  • •Develop production-grade cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.
  • •Implement features, components, and integrations under guidance of senior engineers while maintaining code quality and standards.
  • •Support prototyping, testing, and iteration of AI solutions in customer environments based on feedback and evolving requirements.
  • •Participate in code reviews and help monitor, troubleshoot, and improve deployed solutions to ensure reliability and operational stability.
Travel: Low travel

Key Requirements

  • •Solid foundational software engineering skills with proficiency in Python and hands-on experience in at least one cloud-native development environment.
  • •Growing understanding of AI/ML concepts, including large language models, and familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • •Exposure to data pipelines, MLOps concepts, or integrating AI/ML models into application contexts.
  • •Ability to follow engineering standards, collaborate cross-functionally, and take ownership of assigned tasks.
  • •Basic understanding of cloud platforms (AWS, Azure, GCP) and familiarity with Git, Docker, and CI/CD pipelines.
Skills:CollaborationAccountabilityCommunicationProactive learningCuriosity
Tech Stack:PythonLarge language modelsRAGAgent-based componentsTensorFlowPyTorchScikit-learnAWSAzureGCPGitDockerCI/CDMLOps

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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