Software Engineer, Project, AI Platforms

Rockwell Automation•Mayfield Heights, OH

2d•$139,680 - $176,600

About The Position

Join Rockwell Automation’s Platforms Engineering team, which builds shared AI capabilities for its software portfolio, including FactoryTalk Design Studio, FTOptix, and Studio 5000 Logix Designer. The role develops services, SDKs, and tool interfaces that product teams use to deliver AI assistants, content generation, and diagnostics in production software. Work in an AI-first engineering environment using coding agents, evaluation gates for AI-generated changes, GitHub Copilot Enterprise, Claude, and MCP-based tools that connect agents to build, test, and telemetry systems under human review. The position owns subsystem design through implementation, testing, and production operation, and works with product, architecture, and security teams to apply industrial control system constraints to AI features.

Requirements

Bachelor's degree or equivalent years of relevant work experience.
Typically requires a minimum of 8 years of experience in a software product development environment.
Experience building and shipping production software in Python, C#, or C++.
Experience designing services or APIs that other engineering teams build on.
Hands-on experience using AI coding tools and LLM APIs in day-to-day work.
Clear written and verbal communication across engineering, product, and architecture teams.

Nice To Haves

Degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
Experience with Azure, containers, and CI/CD pipelines.
Experience building and evaluating LLM applications, including tool calling, retrieval, agent frameworks, MCP, and offline evaluation design for non-deterministic behavior.
Familiarity with industrial automation concepts such as PLC programming, OPC UA, or engineering design tools.
Experience applying secure development practices to features that embed LLMs and agents.

Responsibilities

Design and build platform services, SDKs, and APIs that product teams use to embed AI capabilities in FactoryTalk Design Studio, FTOptix, and Logix Designer.
Build and maintain MCP servers and tool interfaces that provide agents governed access to product, build, and test systems.
Develop evaluation suites and regression gates to measure AI feature quality, safety, latency, and cost before release.
Own subsystem design through implementation, testing, and production operation, including observability and performance budgets.
Work with product teams, architects, and security to apply OT/ICS constraints such as IP protection, binary signing, and data boundaries to AI features.
Prototype and evaluate new models and agent patterns, and turn successful approaches into supported platform capabilities.
Improve the team's AI-assisted development process and share effective practices across engineering teams.