AI-Driven Automation Standards Architect

Rockwell Automation

Houston (TX)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health Insurance including Medical, |

401k

Paid Time off

Parental and Caregiver Leave

Flexible Work Schedule

Job summary

Rockwell Automation is seeking a senior engineer to design and implement agentic frameworks for industrial automation, shaping architectures for AI-enabled development and workflow orchestration. You will define standards, governance, and reusable libraries, while advising customers on automation code practices and leading engineering engagements across PLC, HMI, SCADA, and MES platforms.

The role requires advanced experience in industrial software, cloud-native patterns, containerization, and

Qualifications

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.
Knowledge of APIs, microservices, and modern development methodologies.

Responsibilities

Design and implement Agentic Engineering Frameworks for industrial automation.
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.