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IFS

Forward Deployed Engineer

IFS

. Work cross-functionally across Sales, Product, R&D, and Implementation teams .

Posted 10/2/2026full-timeRemote • United KingdomMid-LevelSenior💰 £75,000 - £110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in customer-facing technical solutions, including LLM application development and enterprise integrations, while effectively measuring adoption and impact. Proficient in building maintainable production software and developing reusable accelerators to meet customer needs.

Highest-signal resume keywords
LLM Application DevelopmentTechnical Discovery SessionsEnterprise IntegrationsProduction Software EngineeringCustomer-Facing Solutions Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonAngularSQLData ModelingData IngestionData TransformationData Serving PipelinesREST APIsStreaming APIsDebugging
Soft Skills
Customer-Facing AbilityValue ConversationsJudgment in Technical Solutions
Tools & Technologies
Claude CodeESRI ArcGISIBM MaximoSAP ERPOracle PPMPowerBI
Industry Keywords
Asset-Intensive IndustriesCapital Investment PlanningRegulated Utility Markets

Tech Stack

Tools & technologies
AngularERPOracleOracle ERPPythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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