Senior Consultant, Automation Standards & AI Frameworks

Milwaukee, Wisconsin, United States
Austin, Texas, United States
Houston, Texas, United States
Mayfield Heights, Ohio, United States

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 thework 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!

• Design and implement Agentic Engineering Frameworks for industrial automation development.
• Define the architecture and integration of agents, skills, workflow orchestration, MCP services, development tools, and reusable libraries.
• Transform domain expertise, engineering procedures, and trusted content into reusable AI-enabled skills.
• Develop methodologies for converting customer standards, strategies, and engineering workflows into agent-executable processes.
• Create reference architectures that promote AI-assisted development, testing, documentation, code generation, validation, and commissioning workflows.
• Advise customers on the development and adoption of enterprise Automation Code Standards.
• Assess existing automation architectures, libraries, engineering workflows, and governance models.
• Define coding guidelines, naming conventions, modular programming practices, testing strategies, and lifecycle management processes.
• Establish reusable architectures and engineering frameworks for PLC, HMI, SCADA, analytics, and digital manufacturing applications.
• Facilitate workshops with customer stakeholders to align standards across engineering teams and teams.

• Bachelor’s Degree or Equivalent Years of Relevant Work Experience
• Typically requires a minimum of 8 years of related experience in industrial automation, software engineering, or digital manufacturing solutions.

• Experience with automation architectures and industrial software development practices.
• Experience defining coding standards, governance models, and reusable software frameworks.
• Knowledge of software architecture patterns, APIs, microservices, and modern development methodologies.
• Experience leading customer-facing consulting or architecture engagements.
• Experience with PLC, HMI, SCADA, MES, IIoT, and digital manufacturing platforms.
• Experience with AI agents, workflow orchestration frameworks, MCP architectures, and agentic development methodologies.
• Knowledge of cloud-native architectures, containerization, and modern Dev Ops practices.
• Familiarity with code generation, AI-assisted development, testing automation, and model-driven engineering.
• Experience building reusable engineering libraries, templates, frameworks, or accelerators.
• Knowledge of Factory Talk, Logix, Optix, industrial digital twins, and modern automation application platforms.
• Establish customer-specific automation standards that improve engineering consistency and quality.
• Create reusable agentic frameworks that accelerate project execution and reduce engineering effort.
• Assist customers to transform engineering knowledge into reusable AI-enabled skills.
• Improve development productivity through standardization, automation, and AI-assisted workflows.
• Build long-term customer relationships as a trusted advisor for automation and AI-enabled engineering transformation.

• He…