Forward Deployed Application/ ML Principal Engineer (New York, NY, US, 10001)

SAP
New York
Workplace: HybridFull timeUSD 198,200 - 420,000 annuallyFunction: Communications, PR & CommunityExperience: 10+ yearsSkills: ["Problem-solving","Critical thinking","Collaboration","Communication","Accountability"]

Design, build, and operate AI-native, cloud-native enterprise applications embedded in customer environments. Translate ambiguous business and operational needs into secure, scalable architectures, owning delivery from discovery and prototyping through deployment, stabilization, and handover. Integrate AI capabilities including large language models, retrieval-augmented generation (RAG), vector databases, and agent-based workflows, while applying AI-assisted engineering practices, evaluation frameworks, and SAP-aligned architectural guardrails to ensure reliable, trustworthy outcomes.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Application/ ML Principal Engineer (New York, NY, US, 10001)

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Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and operate AI-native, cloud-native enterprise applications embedded in customer environments. Translate ambiguous business and operational needs into secure, scalable architectures, owning delivery from discovery and prototyping through deployment, stabilization, and handover. Integrate AI capabilities including large language models, retrieval-augmented generation (RAG), vector databases, and agent-based workflows, while applying AI-assisted engineering practices, evaluation frameworks, and SAP-aligned architectural guardrails to ensure reliable, trustworthy outcomes.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as LLMs, RAG, and agent-based workflows.
  • •Embed into customer delivery 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 maintainability.
  • •Prototype, iterate, and productionize solutions in customer environments using reference architectures and reusable assets.
  • •Own application delivery end-to-end, including deployment, observability, and production operations while managing risks and technical escalations.
Travel: Extensive travel

Pay and Benefits

Salary: USD 198,200 - 420,000 annually

Key Requirements

  • •10+ years of hands-on software/application engineering for cloud-native, enterprise, and SaaS environments, with knowledge of scalability, security, and reliability.
  • •Proven ability to design and deliver AI-native applications using large language models, RAG architectures, vector databases, and agentic systems.
  • •Strong proficiency in AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.
  • •Skilled in integrating agentic AI into complex business processes with responsible, effective AI agent use.
  • •Experience owning solutions end-to-end across the application lifecycle from design through deployment and production operations.
Experience:10+ yearsEnterpriseSaaSCloud-nativeAI/MLMLOps
Skills:Problem-solvingCritical thinkingCollaborationCommunicationAccountability
Tech Stack:PythonLarge language modelsRetrieval-augmented generation (RAG)RAGVector databasesAgentic systemsAgent-based workflowsMLOpsData pipelinesObservabilityCloud-native software engineeringSAP AI CoreVectorizationJoule StudioRPT-1Business Data Cloud

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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