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Forward Deployed Engineer

đź•’ vor 2 Monaten

🌽 Illinois – Remote

infoinfo

đź’µ $145.000 - $180.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

đźź  Senior

👷🏻‍♀️ Ingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von IFS, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 2 Monaten

Noch offen auf der Website von IFS. GeprĂĽft vor 11 Stunden.

Logo of IFS

IFS

5001 - 10000 Mitarbeiter

GegrĂĽndet 1983

🏗️ Bauwesen

🏭 Fertigung

📦 Logistik

đź’° Secondary Market im 2022-03

Construction • Manufacturing • Logistics

IFS ist ein Enterprise-Softwareunternehmen, das Lösungen für verschiedene Branchen anbietet, darunter Luft- und Raumfahrt sowie Verteidigung, Bau und Ingenieurwesen, Energie, Versorgungsunternehmen und Rohstoffe, Fertigung, Services und Telekommunikation. Das Unternehmen bietet ein breites Portfolio an Softwareprodukten, darunter Enterprise Asset Management, Field Service Management, Enterprise Resource Planning sowie KI-gestützte Lösungen wie IFS. ai. Diese Lösungen sind darauf ausgelegt, das Asset-Lifecycle-Management zu optimieren, die Kundenbindung zu verbessern und die operative Effizienz zu steigern. IFS Cloud stellt eine umfassende Plattform für die digitale Transformation bereit und unterstützt Unternehmen dabei, Daten zu nutzen und Erkenntnisse über ihre gesamten Geschäftsprozesse hinweg zu gewinnen.

Beschreibung

• Work cross-functionally across Sales, Product, R&D, and Implementation teams • Work alongside Solutions Consultants and Account Executives on strategic accounts and net-new opportunities • Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions • Stand up the current product on customer data quickly to prove value within deals • Rapidly prototype near-production-ready solutions when product capabilities do not meet customer needs • Build the smallest safe prototype to test hypotheses within deal timelines • Engineer production solutions for security, reliability, observability, maintainability, and customer-architecture integration • Build, deploy, and evaluate solutions using customer data • Measure adoption, workflow impact, reliability, and time-to-value; iterate with technical and business stakeholders • Partner with Product and R&D to turn validated customer patterns and production evidence into roadmap investments, reusable components, and platform improvements • Develop reusable accelerators from recurring customer needs • Develop and continuously update solution specifications with customers • Work with Product to evaluate business potential, market needs, competitive differentiation, and functional/technical specifications • Measure role performance through influenced ACV, prototype speed, prototype graduation to production, accelerator reuse, and product-gap follow-through

🎯 Anforderungen

• Customer-facing and commercial ability • Ability to run technical discovery sessions and value conversations with technical and business stakeholders • Ability to connect technical solutions to customer outcomes and deal value • Ability to generalize customer solutions into reusable accelerators • LLM application development, RAG, prompt and context engineering, and agent orchestration • Judgment regarding single versus multi-agent patterns and handling memory and state • Experience using modern AI coding tools such as Claude Code • Familiarity with enterprise integrations in regulated utility markets • Familiarity with ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI/reporting systems • Technical and functional understanding of REST and streaming APIs, authentication patterns, and enterprise systems-of-record integration • Willingness to travel to customer sites as needed, up to approximately 50% • Preferred: software or data engineering background with shipped, maintainable software • Preferred: fluency in Angular, Python, or a similar language • Preferred: SQL, data modeling, and ingestion/transformation/serving pipelines • Preferred: debugging imperfect customer data in live environments • Preferred: production engineering depth in observability, performance, and operating at scale • Preferred: prior customer-facing technical work, solutions engineering, forward deployment, technical consulting, or startup experience • Preferred: prior AI deployment in enterprise or regulated environments

🏖️ Vorteile

• Flexible paid time off, including sick and holiday • Medical, dental, & vision insurance • Flexible spending accounts • Life insurance and disability benefits • Tuition assistance • Community involvement and volunteering events • Bonus

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