Rockwell Automation

Rockwell Automation

AI Engineer / Architect-IFS Cloud

Wisconsin, United States, USA

No sponsorship$106k-$160kDetected 15 days ago
Data StructuresAzureCloud PlatformsOAuthMachine LearningCRMForecastingERPDemand Planning

About the role

  • Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile.
  • With more than 28,000 employees who make the world better every day, we know we have something special.
  • We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work.

Responsibilities

  • You will lead the end‑to‑end application architecture for IFS Cloud across Projects, FSM, Resource Management, Manufacturing and Finance.
  • Define and govern IFS Cloud reference architectures, design patterns, and guardrails, aligned with Evergreen and SaaS operating principles.
  • Design extension strategies using standard IFS capabilities (APIs, Business Events, projections, external services).
  • Ensure non‑functional requirements, performance, availability, security, and resilience are built into solution designs.
  • Design AI‑augmented business processes, promoting AI insights directly into operational workflows
  • You'll architect end-to-end integration solutions between IFS Cloud and upstream CRM platforms, such as lead-to-order, service demand, and contract lifecycle.
  • You will design event‑triggered integration architectures using IFS Business Events as the primary mechanism for integrations.
  • Promote loose coupling between IFS Cloud and external systems to support Evergreen upgrades and platform evolution.
  • Support enterprise reporting, and advanced analytics by ensuring data accuracy and lineage.

Requirements

  • Bachelor's degree in relevant field.
  • Legal authorization to work in the US is required
  • 5+ years of experience with full‑cycle IFS Cloud implementations, upgrades, or migrations.
  • Legal authorization to work in the US is required - We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice to have

  • The Preferred: You might also have:

Skills

  • Service planning and scheduling optimization
  • Demand forecasting and anomaly detection
  • Ensure people trust AI recommendations through human-in-the-loop decisioning.
  • Define feedback loops to monitor outcomes and improve AI‑enabled capabilities.
  • Ensure systems integrate through the common model rather than point‑to‑point mappings, improving scalability and maintainability.

Compensation

  • For this role, the total target compensation is from $106,480.00 - $159,720.00 USD Annual for US Based candidates and $100,960.00 - $151,440.00 CAD Annual for Canada based candidates.

Benefits

  • Health Insurance including Medical, Dental and Vision
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life
  • To learn more about our benefits package, please visit at www.raquickfind.com
  • Actual pay will be based on factors such as skills, knowledge, education, and experience.

Company info

  • Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
  • And if that's you we would love to have you join us!
  • This position is part of a job family.

Equal opportunity

  • We are an Equal Opportunity Employer including disability and veterans.
  • If you are an individual with a disability and you need assistance or a reasonable accommodation during the

Visa & Work Authorization

  • Legal authorization to work in the US is required - We will not sponsor individuals for employment visas, now or in the future, for this job opening

This listing is sourced directly from Rockwell Automation's careers page and normalized into a canonical job model.