Lead AI Platform Infrastructure Architect

Rockwell Automation

AI Platform Architect developing platforms to simplify AI use for Rockwell Automation teams. Creating reusable services, delivering infrastructure as code, supporting full AI lifecycle, and ensuring platform reliability.

Posted 6/11/2026full-timeMilwaukee • Ohio, Texas, Wisconsin • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetes

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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%.
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 requirements, including GPU acceleration, high-performance storage, and network throughput.
Experience integrating security, identity, and compliance controls into shared platforms.
Experience designing enterprise-ready platforms that balance innovation, risk, and operational scalability.

Benefits

Comp & perks

Health Insurance including Medical, Dental and Vision
401k
Paid Time off
Parental and Caregiver Leave
Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

infrastructure as codeAI tools developmentdata ingestionmodel trainingdeploymentmonitoringcontainersKubernetescloud infrastructureGPU acceleration

Soft Skills

collaborationleadershipproblem-solvingcommunicationorganizational skillsadaptabilityinnovationscalability focuscustomer-orientedteamwork