Forward Deployed Engineer – Asset Management, IFS Copperleaf

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $145k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IFS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏗️ Construction

🏭 Manufacturing

📦 Logistics

💰 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.

📋 Description

• Work cross-functionally across Sales, Product, R&D, and Implementation teams • Stand up the current product on customer data to prove value within strategic deals • Rapidly prototype near-production-ready solutions when product capabilities are insufficient • Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff • 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 • Engineer production solutions for security, reliability, observability, maintainability, and 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/technical specifications with Product • Coordinate customer needs, ideas, roadmaps, and visions with Product and Sales organizations

🎯 Requirements

• 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-agent 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 production software • Preferred: fluency in Angular, Python, or a similar language • Preferred: SQL, data modeling, and ingestion/transformation/serving pipelines • Preferred: debugging against 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 experience deploying AI in enterprise or regulated environments

🏖️ Benefits

• 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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