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

SAP
New York
Workplace: HybridFull timeUSD 176,300 - 374,200 annuallyFunction: Communications, PR & CommunityExperience: 8+ yearsSkills: ["Problem-solving","Critical thinking","Mentoring","Collaboration","Communication","Technical leadership","Accountability"]

Design, build, and operate AI-native, cloud-native enterprise applications directly within customer environments. Translate ambiguous business and operational requirements into secure, scalable solutions, owning technical delivery end-to-end—from discovery and prototyping through deployment, observability, and handover to platform/operations teams. Develop production-grade integrations using LLMs, RAG, and agent-based workflows, apply AI-assisted engineering and architectural guardrails aligned with SAP standards, and manage risks and escalations to meet technical objectives.

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

Job Summary

Design, build, and operate AI-native, cloud-native enterprise applications directly within customer environments. Translate ambiguous business and operational requirements into secure, scalable solutions, owning technical delivery end-to-end—from discovery and prototyping through deployment, observability, and handover to platform/operations teams. Develop production-grade integrations using LLMs, RAG, and agent-based workflows, apply AI-assisted engineering and architectural guardrails aligned with SAP standards, and manage risks and escalations to meet technical objectives.
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 projects and fast-moving cross-functional teams to understand business processes, technical landscapes, and operational challenges.
  • •Translate requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.
  • •Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets.
  • •Own end-to-end application delivery including deployment, observability, production operations, and risk/technical escalation management.
Travel: Extensive travel

Pay and Benefits

Salary: USD 176,300 - 374,200 annually

Key Requirements

  • •8+ years building cloud-native, enterprise, SaaS applications with strong architectural knowledge of scalability, security, and reliability.
  • •Proven experience designing and delivering AI-native applications using large language models, RAG architectures, vector databases, and agentic systems.
  • •Strong proficiency with AI/ML Python libraries and familiarity with data pipelines and MLOps practices.
  • •Experience integrating agentic AI into complex business processes with responsible and effective AI agent usage.
  • •Ability to mentor teams and establish development guardrails, best practices, and engineering culture while collaborating across stakeholders.
Experience:8+ yearsEnterpriseSaaSCloud-nativeAI/MLMLOps
Skills:Problem-solvingCritical thinkingMentoringCollaborationCommunicationTechnical leadershipAccountability
Tech Stack:PythonLarge language modelsRetrieval-augmented generationRAGVector databasesAgent-based workflowsAgentic systemsData pipelinesMLOpsCloud-nativeObservabilitySAP 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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