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Forward Deployed Engineer

🕒 vor 2 Monaten

🌽 Illinois – Remote

infoinfo

💵 $160.000 - $230.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 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. Geprüft vor 33 Minuten.

Logo of IFS

IFS

5001 - 10000 Mitarbeiter

Gegründet 1983

🏗️ Bauwesen

🏭 Fertigung

📦 Logistik

💰 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 • Stand up the current product on customers’ data quickly to prove value within strategic deals • Rapidly prototype near-production-ready solutions when product capabilities do not meet customer needs • Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions • Work alongside Solutions Consultants and Account Executives on strategic accounts and net-new opportunities • Build, deploy, and evaluate solutions using customer data • Measure adoption, workflow impact, reliability, and time-to-value, then iterate with stakeholders • Engineer production solutions for security, reliability, observability, maintainability, and customer-architecture integration • Partner with Product and R&D to convert 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 • Evaluate business potential, market needs, competitive differentiation, and functional/technical specifications with Product • Coordinate customer needs, ideas, roadmaps, and visions with Product and Sales organizations

🎯 Anforderungen

• Customer-facing and commercial ability • Ability to run technical discovery sessions and hold 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 • Experience with LLM application development, RAG, prompt and context engineering, and agent orchestration • Judgment regarding single versus multi-agent patterns and handling memory and state • Daily use of 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 • Engineering strength; domain experience in utilities, energy, transportation, or capital and asset investment planning is a strong plus, not a gate • Willingness to travel to customer sites as needed, up to ~50% • Software or data engineering background with experience building and shipping maintainable working software • Fluency in Angular, Python, or a similar language; comfort working in unfamiliar languages and codebases • Understanding of SQL, data modeling, and pipelines for ingestion, transformation, and serving • Strong debugging skills with imperfect customer data in live environments • Production engineering depth in observability, performance, and operating at scale • Prior customer-facing technical work, solutions engineering, forward deployment, technical consulting, or startup experience • Prior experience deploying AI 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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infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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