Software Engineer, Project, AI Platforms
About The Position
You'll join the Platforms Engineering team that builds shared AI capabilities behind Rockwell's software portfolio, including FactoryTalk Design Studio, FTOptix, and Studio 5000 Logix Designer. You'll build services, SDKs, and tool interfaces that let product teams ship assistants, content generation, and diagnostics into software customers run in production. The role operates in an AI-first engineering environment using coding agents in an internally owned harness, evaluations that gate AI-generated changes, GitHub Copilot Enterprise and Claude, and MCP-based tools that connect agents to build, test, and telemetry systems under human-in-the-loop review. The position involves owning subsystem design through implementation, testing, and production operation, including observability and performance budgets. You will collaborate with product teams, architects, and security to apply operational technology and 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 give 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 loop and share effective practices across engineering teams.
Benefits
- Health insurance including medical, dental, and vision.
- 401(k).
- Paid time off.
- Parental and caregiver leave.
- Flexible work schedule coordinated with the manager.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
