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. 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 Position Summary: As our AI Platform Architect, you will develop platforms that make it simple for teams across Rockwell to use AI. You will deliver working AI tools using infrastructure as code and create platforms that accelerate how quickly we can adopt and benefit from AI. This is a hands-on role. You will write code, build pipelines, deploy infrastructure, and own what you ship. You will also partner with engineering, data, and security teams to make sure what you build fits into
how we work. You will report to the Leader of Infrastructure Platform Automation as senior-level individual contributor, expected to influence across Rockwell. Your
Responsibilities: Build AI Platforms You will deliver platforms that support the full AI lifecycle, from data ingestion and model training to deployment and monitoring You will create reusable services and templates so teams can go from idea to production with less effort You will ensure platforms are reliable, scalable, and straightforward to use Deliver Infrastructure as Code You will develop all platform components using infrastructure as code You will create repeatable deployment patterns and automated pipelines You will lead the automation that provisions, updates, and scales platform environments Enable AI Adoption You will build practical tools and services that reduce the barriers to using AI across the enterprise You will create standardized paths for teams to build, test, and deploy AI solutions You will focus on making the platform easy to adopt so teams spend their time on outcomes, not on setup Integrate and Operate You will connect data pipelines, model services, APIs, and monitoring into a cohesive platform You will support both real-time and batch AI workloads You will ensure high availability, performance, cost efficiency, and security across all platform components The Essentials – You Will Have: Bachelor's degree or equivalent years of relevant 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. Ability to travel domestically or internationally up to 10%. The Preferred – You Might Also Have: Typically requires 12+ years of experience in infrastructure architecture, platform engineering, or cloud engineering roles. Degree in Computer Science, Engineering, or a related technical field. Background in cloud infrastructure (Azure, AWS, or GCP) and hybrid enterprise environments. Hands-on experience designing platforms using containers, Kubernetes, and infrastructure-as-code. Familiarity with AI/ML platform