Forward Deployed Senior AI Engineer

SAP
New York
Workplace: HybridFull timeUSD 131,000 - 271,600 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Collaboration","Accountability","Proactive learning","Adaptability"]

Design, develop, and operate AI-native enterprise applications in customer-embedded delivery teams. Build production-grade cloud-native features integrating large language models, RAG pipelines, and agent-based components, and support prototyping, testing, and iteration based on customer feedback. Maintain code quality through design sessions and code reviews, and help monitor and troubleshoot deployed solutions for reliability. Contribute to documentation, reusable components, and engineering best practices while staying current with AI/ML advances.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Senior AI Engineer

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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 enterprise applications in customer-embedded delivery teams. Build production-grade cloud-native features integrating large language models, RAG pipelines, and agent-based components, and support prototyping, testing, and iteration based on customer feedback. Maintain code quality through design sessions and code reviews, and help monitor and troubleshoot deployed solutions for reliability. Contribute to documentation, reusable components, and engineering best practices while staying current with AI/ML advances.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.
  • •Work within customer projects and cross-functional delivery teams to understand business processes, technical landscapes, and customer needs.
  • •Implement AI features, components, and integrations while maintaining code quality and adherence to engineering standards.
  • •Support prototyping, testing, and iteration of AI solutions in customer environments based on feedback and evolving requirements.
  • •Assist with code reviews, monitoring, troubleshooting, documentation, and improving deployed solutions for operational stability.
Travel: Extensive travel

Pay and Benefits

Salary: USD 131,000 - 271,600 annually

Key Requirements

  • •8+ years of hands-on software/application engineering experience in cloud-native, enterprise, and SaaS environments, including scalability, security, and reliability knowledge.
  • •Proficiency in Python and hands-on experience in at least one cloud-native development environment.
  • •Working knowledge of AI/ML concepts, including large language models, and familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • •Exposure to data pipelines, MLOps concepts, or integrating AI/ML models into application contexts.
  • •Ability to collaborate in cross-functional, customer-facing teams while taking ownership of assigned tasks and following engineering standards.
Experience:8+ yearsEnterpriseSaaSCloud-nativeMLOps
Skills:CommunicationCollaborationAccountabilityProactive learningAdaptability
Tech Stack:PythonLarge language modelsLLMsRAGAgent-based componentsTensorFlowPyTorchScikit-learnAWSAzureGCPGitDockerCI/CD pipelinesCloud-native applications

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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