AI Engineer

Rockwell Automation•Mayfield Heights, OH

2d•Hybrid

About The Position

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 work a hybrid schedule in Mayfield Heights, OH, or Milwaukee, WI and report to the Senior AI Engineering Manager.

Requirements

Bachelor's Degree or Equivalent Years of Relevant Work Experience.
Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice To Haves

Typically requires a minimum of 5 years of related experience.
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.
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.

Responsibilities

Design, develop, and deploy GenAI and LLM‑based solutions, including RAG pipelines, prompt orchestration, agent workflows, and supporting Python services.
Select appropriate models, tools, and frameworks based on quality, performance, cost, security, and enterprise requirements.
Own AI solutions end‑to‑end, from design and development through production deployment and operational support.
Define solution architectures aligned with Azure AI platform standards, enterprise guardrails, and ISC data governance guidelines.
Establish and apply best practices for prompt design, testing, evaluation, versioning, reliability, scalability, and maintainability.
Implement automated build, test, deployment, monitoring, and feedback processes in Microsoft‑centric enterprise environments.
Coordinate user acceptance testing, collect structured feedback, and incorporate operational signals to continuously improve solution quality and adoption.
Ensure compliance with Rockwell AI policies, risk controls, and data handling standards throughout development and deployment.
Collaborate with ISC AI COE leadership, stakeholders, and cross‑functional teams to align on use cases, priorities, and technical approaches.
Partner with business users to validate solution behavior, identify improvements, and enable effective use of GenAI‑powered tools and workflows.