AI Engineer
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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.
Benefits
Additional Information
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.
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