Forward-Deployed AI Platform Engineer – Customer-Facing

LinkedIn

Gallicano nel Lazio

Ibrido

EUR 90.000 - 130.000

Tempo pieno

4 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura mirata per questo annuncio — un curriculum e una lettera di presentazione pensati per rispondere alle esigenze dell'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Hybrid work

Descrizione del lavoro

LinkedIn is seeking a Strong Forward Deployed Engineer for an AI Platform to solve high-impact problems for enterprise customers. You’ll own projects end-to-end from problem definition and system design to launch and iteration, working directly with customers to understand critical workflows and deploy AI-driven solutions.

This hands-on generalist role requires navigating ambiguity, learning quickly, and collaborating with Product Engineering to ship high-quality, scalable solutions that deliver

Competenze

  • 5+ years of software engineering experience.
  • Strong fundamentals in software design and systems thinking.
  • Experience working across systems and data flows.

Mansioni

  • Partner with customers to understand operational challenges and success criteria.
  • Translate open-ended problems into clear technical designs and implementations.
  • Build AI agents that integrate with customer systems and perform real tasks.
  • Own deployments, including reliability, performance, and continuous improvement.
  • Test with real data, measure outcomes, and iterate based on results.
  • Collaborate with Product Engineering to ship high-quality solutions.
  • Contribute to tools, documentation, and best practices that scale customer delivery.

Descrizione del lavoro

LinkedIn is seeking a Strong Forward Deployed Engineer for an AI Platform to solve high-impact problems for enterprise customers. You’ll own projects end-to-end from problem definition and system design to launch and iteration, working directly with customers to understand critical workflows and deploy AI-driven solutions.

This hands-on generalist role requires navigating ambiguity, learning quickly, and collaborating with Product Engineering to ship high-quality, scalable solutions that deliver

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