Forward-Deployed AI Engineer for Enterprise Assets

IFS North America, Inc.

Itasca (IL)

Hybrid

USD 160,000 - 230,000

Full time

10 days ago

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Benefits offered by this job

Flexible PTO
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Life Insurance
Tuition Assistance
Community Involvement

Job summary

IFS Copperleaf seeks a Forward Deployed Engineer to run technical discovery, scope architecture, and deliver rapid proofs of value on customer data. You will prototype production-ready solutions and collaborate with product and sales to shape roadmaps while ensuring security, reliability, and integration with client systems.

Ideal candidates will blend engineering strength with business acumen, travel up to 50%, and contribute to scalable accelerators for diverse utility and asset-intensive

Qualifications

  • Customer-facing technical discovery sessions with value-focused storytelling.
  • Ability to generalize solutions into reusable accelerators.
  • Experience with AI in enterprise or regulated environments is a plus.
  • Familiarity with enterprise integrations and REST/streaming APIs.

Responsibilities

  • Own discovery, scoping, architecture, implementation, and adoption for strategic solutions.
  • Prototype aggressively and productionize deliberately with security and reliability in mind.
  • Build, deploy, and evaluate with customer data to measure adoption and value.
  • Collaborate with Product/R&D to turn patterns into roadmaps and accelerators.
  • Create solution specifications to guide product and engineering teams.

Skills

Customer-facing
Abstraction & reuse
AI & agentic engineering
Enterprise integrations
Asset-intensive domain
Travel up to 50%

Tools

Angular
Python
SQL
PowerBI
ESRI ArcGIS/Smallworld
IBM Maximo/EAM

Job description

IFS Copperleaf seeks a Forward Deployed Engineer to run technical discovery, scope architecture, and deliver rapid proofs of value on customer data. You will prototype production-ready solutions and collaborate with product and sales to shape roadmaps while ensuring security, reliability, and integration with client systems.

Ideal candidates will blend engineering strength with business acumen, travel up to 50%, and contribute to scalable accelerators for diverse utility and asset-intensive

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