Forward Deployed Engineer – Asset Investment Planning

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 11%

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.Why this score:

• Just posted.
• Jobs at this company usually fill in 40 days.
• No salary listed.

Apply Now

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

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 • 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 • Deploy the current product on customer data and prove value within deal timelines • 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 customer-architecture 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 • Coordinate customer needs, ideas, roadmaps, and visions across Product and Sales organizations • Measure influenced ACV, prototype time-to-value, prototype graduation to production, accelerator reuse, and recurring product gaps

🎯 Requirements

• 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 • 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 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 • Willingness to travel to customer sites as needed, up to approximately 50% • Domain experience in asset-intensive industries or capital and asset investment planning is a strong plus, not a requirement • 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 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 preferred • Prior experience deploying AI in enterprise or regulated environments preferred

🏖️ Benefits

• Flexible and hybrid work opportunities • Inclusive workplace experiences • Opportunities to work in a global, diverse environment • Commitment to sustainability • Internal AI adoption and access to modern AI tools • Opportunity to make a positive impact through AI-driven solutions

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume