
5001 - 10000 employees
Founded 1983
🏗️ Construction
🏠Manufacturing
📦 Logistics
đź’° Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
🔥 12 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
👷🏻‍♀️ Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
đź‘» Ghost score 11%
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5001 - 10000 employees
Founded 1983
🏗️ Construction
🏠Manufacturing
📦 Logistics
đź’° Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
• Work cross-functionally across Sales, Product, R&D, and Implementation teams • Stand up the current product on customer data quickly to prove value during strategic deals • Rapidly prototype near-production-ready solutions using modern AI tools when product capabilities are insufficient • Own technical outcomes from discovery through production adoption • Work with Solutions Consultants and Account Executives on strategic accounts and net-new opportunities • Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff • 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 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 • Measure influenced ACV, prototype delivery time, prototype graduation to production, accelerator reuse, and recurring product gaps
• Customer-facing and commercial ability • Ability to run technical discovery sessions and 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 • LLM application development • RAG, prompt and context engineering, and agent orchestration • Judgment regarding single-agent versus multi-agent patterns, 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 is preferred • Experience building and shipping maintainable production software • Fluency in Angular, Python, or a similar language • Ability to work in unfamiliar languages and codebases • Understanding of SQL, data modeling, and 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 work, solutions engineering, forward deployment, technical consulting, or startup experience is preferred • Prior experience deploying AI in enterprise or regulated environments is preferred
• Remote work opportunities • Hybrid work opportunities • Inclusive workplace experiences • Opportunity to work in a global, diverse environment • Commitment to sustainability • AI-driven solutions and internal AI adoption • Opportunity to contribute to roadmap investments, reusable components, and platform improvements • Customer-site travel opportunities
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