Forward Deployed AI Engineer

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

Contribute to the design, development, and operation of AI-native, cloud-native enterprise applications delivered in customer-embedded teams. Build production-grade solutions that integrate large language models, RAG pipelines, and agent-based components, while learning business processes and technical landscapes. Implement and iterate features under senior guidance, participate in code reviews and design sessions, and help monitor, troubleshoot, and improve deployed solutions for reliability and operational stability.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed AI Engineer

✓ 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

Contribute to the design, development, and operation of AI-native, cloud-native enterprise applications delivered in customer-embedded teams. Build production-grade solutions that integrate large language models, RAG pipelines, and agent-based components, while learning business processes and technical landscapes. Implement and iterate features under senior guidance, participate in code reviews and design sessions, and help monitor, troubleshoot, and improve deployed solutions for reliability and operational stability.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Develop production-grade cloud-native applications that integrate AI capabilities such as large language models, RAG pipelines, and agent-based components.
  • •Work in customer projects and cross-functional delivery teams to understand business processes, technical landscapes, and customer needs.
  • •Implement features, components, and integrations under guidance while maintaining code quality and engineering standards.
  • •Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.
  • •Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.
Travel: Low travel

Key Requirements

  • •Proficiency in software engineering with experience in Python and at least one cloud-native development environment.
  • •Knowledge of AI/ML concepts, including familiarity with large language models and AI/ML services via APIs.
  • •Exposure to data pipelines and MLOps or integrating AI/ML models into application contexts.
  • •Ability to collaborate, follow engineering standards, and take ownership of assigned tasks with strong accountability.
  • •Familiarity with cloud platforms (AWS, Azure, GCP) and tools such as Git, Docker, and CI/CD pipelines.
Experience:AI/MLCloud-native
Skills:CollaborationOwnershipAccountabilityProactive learningCommunication
Tech Stack:PythonLarge language modelsRAG pipelinesAgent-based componentsTensorFlowPyTorchScikit-learnAPI-based AI servicesData pipelinesMLOpsCloud platformsAWSAzureGCPGitDockerCI/CDCloud-native applicationsSAP AI CoreSAP Business Technology Platform (BTP)

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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