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# AI Engineer

- **Company:** Rockwell Automation, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Python (Programming Language), Software Engineering, Large Language Models, Generative AI
- **Published:** June 5, 2026
- **Apply:** https://www.dice.com/job-detail/3e84babf-5e03-4fdc-9706-f811aad9df36

## About the Role

* Bachelor's Degree.
 * Legal authorization to work in the US is required- we will not sponsor individuals for employment visas, not now or in the future, for this job opening
 * Ability to travel, including internationally, up to 10% of time.

The Preferred - You Might Also Have:

 * Typically requires 8+ years relevant experience in software development, including Python or other modern languages
 * Experience with Large Language Models
 * Experience working with Microsoft Co-Pilot and Anthropic Claude.
 * Familiarity in creating AI agents

## Description

This role is responsible for accelerating the adoption of Generative AI (GenAI) across the development organization by identifying high-value use cases, delivering scalable proof-of-concepts, and driving measurable improvements in developer productivity and quality. The role combines technical depth with strong stakeholder engagement and change leadership., * Voice of Customer & Opportunity Identification

 + Conduct recurring Voice of Customer (VOC) engagements with development teams to understand workflows, pain points, and opportunities where GenAI can deliver measurable value.
 + Translate VOC insights into prioritized GenAI use cases aligned with business and engineering goals.
 * Solution Benchmarking & Prototyping
 + Evaluate and benchmark emerging GenAI technologies, tools, and platforms.
 + Design and deliver proof-of-concept (POC) solutions that demonstrate clear value and are scalable for adoption by larger development teams.
 * GenAI Adoption & Enablement
 + Lead the adoption of GenAI capabilities across the development organization, ensuring tools are integrated into daily developer workflows.
 + Partner with teams to drive sustained usage and embed GenAI as a standard way of working.
 * Automation & Productivity Gains
 + Identify and automate manual, repetitive, or error-prone development activities using GenAI and related technologies.
 + Define and track key performance indicators (KPIs) that quantify improvements in productivity, quality, and cycle time.
 * Metrics & Continuous Improvement
 + Establish clear KPIs to measure GenAI impact, including adoption, effectiveness, and business outcomes.
 + Use data-driven insights to refine solutions and guide future investments.
 * Technology Scouting & Knowledge Sharing
 + Stay current with GenAI industry trends, best practices, and evaluation techniques.
 + Proactively share insights, learnings, and recommendations with the broader development organization.
 * Governance & Compliance
 + Ensure all GenAI solutions comply with Rockwell Automation AI policies, data governance standards, and security requirements.


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