Forward Deployed Engineer

🕒 Agosto 28

🌐 Estados Unidos, Reino Unido – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇬🇧 Reino Unido – Remoto (RU)

💵 £117.000 - £168.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

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IFS

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1983

🏗️ Construção

🏭 Manufatura

📦 Logística

💰 Secondary Market em 2022-03

Construction • Manufacturing • Logistics

A IFS é uma empresa de software corporativo que oferece soluções para diversas indústrias, incluindo aeroespacial e defesa, construção e engenharia, energia, utilidades e recursos, manufatura, serviços e telecomunicações. A empresa oferece uma ampla gama de produtos de software, incluindo gestão de ativos empresariais, gestão de serviços de campo, planejamento de recursos empresariais e soluções que aproveitam inteligência artificial, como o IFS. ai. Essas soluções são projetadas para otimizar a gestão do ciclo de vida dos ativos, melhorar o engajamento do cliente e aumentar a eficiência operacional. A IFS Cloud fornece uma plataforma abrangente para a transformação digital, ajudando as empresas a aproveitarem os dados e a gerar insights em suas operações.

Descrição

• 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 are insufficient • 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 stakeholders • 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 • Work with Product to evaluate business potential, market needs, competitive differentiation, and functional/technical specifications • Measure the role through influenced ACV, prototype speed, prototype graduation to production, reusable accelerators, and recurring gaps escalated to Product

🎯 Requisitos

• 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 in using single versus multi-agent patterns and handling memory and state • Daily practice with 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 • Domain experience in asset-intensive industries or capital and asset investment planning is a strong plus, not a gate • Willingness to travel to customer sites as needed, up to approximately 50% • Preferred software or data engineering background • Experience building and shipping maintainable production software • Fluency in Angular, Python, or a similar language • Comfort working in unfamiliar languages and codebases • Understanding of SQL, data modeling, and ingestion, transformation, and serving pipelines • 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

🏖️ Benefícios

• 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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