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IFS

Forward Deployed Engineer – Asset Management, IFS Copperleaf

IFS

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

Posted 11/9/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $145,000 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in LLM Application Development, Technical Discovery, and Customer-Facing Solutions Engineering, with a strong focus on integrating customer data into production solutions. Proven ability to collaborate cross-functionally and develop reusable accelerators that drive customer outcomes and business value.

Highest-signal resume keywords
LLM Application DevelopmentTechnical Discovery SessionsCustomer-Facing Solutions EngineeringEnterprise IntegrationsProduction Engineering Depth

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Prompt EngineeringContext EngineeringREST APIsSQLData ModelingDebuggingObservabilityPerformance EngineeringIntegration PatternsProduction Software Development
Soft Skills
Commercial AbilityJudgmentCollaborationCommunicationCustomer Engagement
Tools & Technologies
Claude CodeESRI ArcGISIBM MaximoSAP ERPOracle PPMPowerBIAngularPython
Industry Keywords
Regulated Utility MarketsEnterprise Systems-of-RecordCustomer Data SolutionsMarket Needs EvaluationCompetitive Differentiation

Tech Stack

Tools & technologies
AngularERPOracleOracle ERPPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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