AI Engineer

Posted One Month Ago
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Katowice, Śląskie, POL
In-Office
Senior level
Hardware • Software
The Role
Design, develop, deploy, and operationalize Generative AI and LLM solutions for supply chain operations. Build RAG pipelines, prompt orchestration, agent workflows, Python services, and Azure AI architectures. Establish evaluation, testing, monitoring, governance, and deployment practices while ensuring reliability, scalability, security, and adoption. Collaborate with stakeholders and business users to validate use cases, coordinate testing, gather feedback, and enable low-code practitioners and subject matter experts.
Summary Generated by Built In

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. 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.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

Rockwell Automation is seeking an AI Engineer within the Integrated Supply Chain (ISC) AI Center of Excellence. The AI Engineer will design, develop, and operationalize Generative AI (GenAI) and Large Language Model (LLM) solutions. These solutions will deliver measurable value across supply chain operations. You will own solutions end‑to‑end for defined use cases and applies strong technical judgment to ensure solutions are reliable, scalable, and adopted in production.

You will report to the Senior Director, Digital Transformation and have a hybrid schedule working in Katowice, Poland.

Your Responsibilities:
  • GenAI Solution Ownership
    • Design and develop GenAI applications, including RAG pipelines, prompt orchestration, and agent‑based workflows, with supporting Python automation where appropriate.
    • Select appropriate models, tools, and frameworks based on quality, latency, cost, and security requirements.
    • Own solutions from design through production deployment for assigned use cases spanning document intelligence, knowledge assistants, and process automation.
  • Architecture & Quality
    • Define solution architectures aligned with Rockwell's Azure AI platform standards, enterprise guardrails, and ISC data governance requirements.
    • Establish best practices for prompt design, evaluation, testing, and versioning across a shared service delivery model.
    • Ensure solutions meet reliability, scalability, and maintainability expectations across custom Python services, Azure‑hosted components, and low‑code integrations.
  • Operations & Adoption
    • Implement automated build, test, deployment, monitoring, and feedback practices for solutions running in Microsoft‑centric enterprise environments.
    • Coordinate user acceptance testing, gather structured feedback, and incorporate operational signals to continuously improve solution quality and drive adoption.
    • Ensure compliance with Rockwell AI policies, risk controls, and data handling standards throughout development and deployment.
  • Collaboration & Enablement
    • Work closely with the ISC AI COE lead and senior stakeholders to receive use case context, validate technical approaches, and align on priorities.
    • Coordinate testing cycles and feedback loops with business users to validate solution behavior and surface improvement opportunities.
    • Enable low‑code/no‑code practitioners and business SMEs to effectively use GenAI‑powered tools and automated workflows.
The Essentials - You Will Have:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
  • 5+ years of experience in software engineering, AI/ML, or applied data systems.
  • Python proficiency with experience building production‑grade services and automation pipelines.
  • Hands‑on experience designing and deploying GenAI / LLM‑based applications.
The Preferred - You Might Also Have:
  • Experience with RAG pipelines, vector databases, and GenAI evaluation techniques.
  • Familiarity with Azure AI services and cloud‑native deployment patterns.
  • Experience integrating solutions with Microsoft 365, SharePoint, and Graph API in enterprise environments.
  • Identified automation opportunities and delivered scripted and workflow‑based solutions using AI tools.
  • Collaborated effectively within structured delivery models and cross‑functional technical teams.
What We Offer:

Our benefits package includes …

  • Volunteer Paid Time off available after 6 months of employment for eligible employees.
  • Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
  • On-demand digital course library for professional development.
  • Comprehensive mindfulness programs with a premium membership to Calm
  • Employee Assistance Program.
  • Personalized wellbeing programs through our OnTrack program.

... and other local benefits!

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

#LI-Hybrid

#LI-JS1

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
  • 5+ years of experience in software engineering, AI/ML, or applied data systems
  • Proficiency in Python, including production-grade services and automation pipelines
  • Hands-on experience designing and deploying Generative AI or LLM-based applications
  • Experience with RAG pipelines, vector databases, and Generative AI evaluation techniques
  • Familiarity with Azure AI services and cloud-native deployment patterns
  • Experience integrating solutions with Microsoft 365, SharePoint, and Graph API
  • Experience identifying automation opportunities and delivering scripted or workflow-based AI solutions
  • Experience collaborating within structured delivery models and cross-functional technical teams

Rockwell Automation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rockwell Automation and has not been reviewed or approved by Rockwell Automation.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental‑health support, disability and life insurance, and wellness resources. Multiple plan choices and supportive programs contribute to the package feeling well‑rounded.
  • Retirement Support — Retirement benefits include a 401(k)/Retirement Savings Plan with employer matching that is positioned as a meaningful part of total compensation. These offerings reinforce longer‑term financial security as a core strength.
  • Parental & Family Support — Paid parental leave was expanded and a paid caregiver leave was added, indicating clear support for family needs. These policies are complemented by flexibility signals and dedicated paid volunteer time.

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The Company
HQ: Milwaukee, WI
22,000 Employees
Year Founded: 1903

What We Do

At Rockwell Automation, we connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more intelligent, more connected and more productive.

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