Forward Deployed Engineer – Asset Management, IFS Copperleaf

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Collaborate across Sales, Product, R&D, and Implementation teams.

• Establish the current product on customer data to demonstrate value in strategic agreements.

• Quickly develop near-production-ready solutions when existing product capabilities fall short.

• Oversee discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff.

• Partner with Solutions Consultants and Account Executives on strategic accounts and new opportunities.

• Construct, deploy, and assess solutions utilizing customer data.

• Assess adoption, workflow impact, reliability, and time-to-value.

• Design production solutions ensuring security, reliability, observability, maintainability, and integration.

• Collaborate with Product and R&D to transform validated customer patterns into roadmap investments, reusable components, and platform enhancements.

• Create reusable accelerators based on recurring customer requirements.

• Formulate and continually update solution specifications in collaboration with customers.

• Analyze business potential, market demands, competitive differentiation, and functional/technical specifications alongside Product.

• Align customer needs, ideas, roadmaps, and visions with Product and Sales teams.

⛳️ Requirements

• Strong customer-facing and commercial skills.

• Capability to conduct technical discovery sessions and value discussions with both technical and business stakeholders.

• Ability to link technical solutions to customer outcomes and deal value.

• Skill in generalizing customer solutions into reusable accelerators.

• Experience with LLM application development, RAG, prompt and context engineering, and agent orchestration.

• Good judgment regarding single-agent versus multi-agent patterns and managing memory and state.

• Proficiency with modern AI coding tools such as Claude Code.

• Understanding of enterprise integrations within regulated utility markets.

• Familiarity with ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI/reporting systems.

• Technical and functional knowledge of REST and streaming APIs, authentication patterns, and integration of enterprise systems-of-record.

• Willingness to travel to customer locations as necessary, up to about 50% of the time.

• Preferred: background in software or data engineering with deployed production software.

• Preferred: proficiency in Angular, Python, or a similar programming language.

• Preferred: experience with SQL, data modeling, and ingestion/transformation/serving pipelines.

• Preferred: debugging experience with imperfect customer data in live environments.

• Preferred: depth in production engineering regarding observability, performance, and operating at scale.

• Preferred: previous customer-facing technical roles, solutions engineering, forward deployment, technical consulting, or startup experience.

• Preferred: experience deploying AI in enterprise or regulated settings.

🏝️ Benefits

• Flexible paid time off, including sick leave and holidays.

• Comprehensive medical, dental, and vision insurance.

• Flexible spending accounts.

• Life insurance and disability benefits.

• Tuition assistance.

• Opportunities for community involvement and volunteering events.

• Bonus opportunities.