Forward Deployed (Senior) AI Engineer (f/m/d)

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

Design, develop, and operate AI-native, production-grade enterprise applications in customer-embedded delivery teams. Build cloud-native features that integrate large language models, RAG pipelines, and agent-based components, and work under senior guidance to implement integrations, maintain code quality, and participate in reviews. Support prototyping, testing, monitoring, and troubleshooting for reliability, while contributing to documentation and reusable components.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed (Senior) AI Engineer (f/m/d)

✓ 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 enterprise applications in customer-embedded delivery teams. Build cloud-native features that integrate large language models, RAG pipelines, and agent-based components, and work under senior guidance to implement integrations, maintain code quality, and participate in reviews. Support prototyping, testing, monitoring, and troubleshooting for reliability, while contributing to documentation and reusable components.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop production-grade, cloud-native applications that integrate AI capabilities such as large language models, RAG pipelines, and agent-based components.
  • •Implement features, components, and integrations while maintaining code quality and adherence to engineering standards under senior guidance.
  • •Support prototyping, testing, and iteration of AI solutions in customer environments based on feedback and evolving requirements.
  • •Participate in code reviews, technical discussions, and design sessions to build engineering skills.
  • •Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.
Travel: Low travel

Key Requirements

  • •Solid foundational software engineering skills with proficiency in Python and experience in at least one cloud-native development environment.
  • •Growing understanding of AI/ML concepts, including large language models and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • •Exposure to data pipelines and/or MLOps concepts, or AI/ML model integration in application contexts.
  • •Ability to collaborate in teams, follow engineering standards, and take ownership of assigned tasks with strong accountability.
  • •Basic understanding of cloud platforms (AWS, Azure, GCP) and familiarity with Git, Docker, and CI/CD pipelines.
Skills:CollaborationAccountabilityCommunicationProactive learningAdaptability
Tech Stack:PythonLarge language modelsRAGTensorFlowPyTorchScikit-learnAWSAzureGCPGitDockerCI/CDMLOpsSAP 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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