Software Engineer, Project, AI Platforms

Responsibilities: Design and build platform services, SDKs, and APIs used to embed AI into FactoryTalk Design Studio, FTOptix, and Logix Designer Build and maintain MCP servers and tool interfaces granting agents governed access to build, test, and product 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 Collaborate with product, architects, and security to enforce OT/ICS constraints (IP protection, binary signing, data boundaries) for AI features Prototype and evaluate new models and agent patterns, turning successful ones into supported platform capabilities Enhance the team’s AI-assisted development loop and share learnings across engineering teams

Key requirements: Bachelor’s Degree or equivalent experience 8+ years in software product development Experience shipping production software in Python, C#, or C++ API/service design experience used by other engineering teams Hands-on with AI coding tools and LLM APIs Azure, containers, and CI/CD pipelines experience Experience building/evaluating LLM applications: tool calling, retrieval, agent frameworks, MCP, offline eval design Familiarity with industrial automation concepts (PLC, OPC UA) Secure development practices for features embedding LLMs and agents Clear written and verbal communication across teams Clear written communication Cross-functional collaboration Problem solving and technical curiosity Python C# C++