Forward Deployed Engineer

🕒 il y a 25 jours

🇬🇧 Royaume-Uni – Télétravail

💵 £75 000 - £110 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

🗣️🇺🇸🇬🇧 Anglais requis

Angular

ERP

Oracle

Oracle ERP

Python

SQL

D'où vient cette offre

Publiée sur la page carrières de IFS, pas via un site d'emploi

Repérée par Remote Rocketship il y a 25 jours

Toujours ouverte sur le site de IFS. Vérifiée il y a 12 heures.

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IFS

5001 - 10000 employés

Fondée en 1983

🏗️ Construction

🏭 Fabrication

📦 Logistique

💰 Secondary Market en 2022-03

Construction • Manufacturing • Logistics

IFS est un éditeur de logiciels d’entreprise qui fournit des solutions pour de nombreux secteurs, notamment l’aéronautique et la défense, la construction et l’ingénierie, l’énergie, les services publics et les ressources, l’industrie manufacturière, les services et les télécommunications. L’entreprise propose une large gamme de produits logiciels, dont la gestion des actifs d’entreprise (EAM), la gestion des interventions terrain (FSM), l’Enterprise Resource Planning (ERP) et des solutions exploitant l’intelligence artificielle telles qu’IFS. ai. Ces solutions sont conçues pour optimiser la gestion du cycle de vie des actifs, améliorer l’engagement client et accroître l’efficacité opérationnelle. IFS Cloud offre une plateforme complète de transformation numérique, aidant les entreprises à tirer parti de leurs données et à générer des insights sur l’ensemble de leurs opérations.

Description

• 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 to prove value within deals • Rapidly prototype near-production-ready solutions when product capabilities do not meet customer needs • Build, deploy, and evaluate solutions using customer data • Measure adoption, workflow impact, reliability, and time-to-value • Engineer production solutions for security, reliability, observability, maintainability, and architectural 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 and technical specifications with Product • Influence deal ACV and accelerate time to first working prototype • Track prototype graduation to production and reuse of shipped patterns and accelerators

🎯 Exigences

• Customer-facing and commercial ability • Ability to run technical discovery sessions and hold value conversations with technical and business stakeholders • Ability to connect technical work 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 • 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 • Domain experience in asset-intensive industries or capital and asset investment planning is a strong plus • Willingness to travel to customer sites as needed, up to approximately 50% • Software or data engineering background preferred • Experience building and shipping maintainable production software • Fluency in Angular, Python, or a similar language • Understanding of SQL, data modeling, and data ingestion, transformation, and serving pipelines • Strong debugging ability with imperfect customer data in live environments • Production engineering depth in observability, performance, and operating at scale • Prior customer-facing technical, solutions engineering, forward deployment, technical consulting, or startup experience preferred • Prior experience deploying AI in enterprise or regulated environments preferred

🏖️ Avantages

• 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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