About the role
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 the work 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! Job Description We are looking for an AI engineer/scientist to help build the next generation of industrial agentic AI systems that transform how engineers design, operate, debug, and optimize automation systems. You will sit at the intersection of large language models, autonomous agents, industrial control systems, and real-world operational intelligence. You will work on advanced AI systems can reasoning over software workflows, using engineering tools, learning from operational outcomes, and assisting users across the lifecycle of industrial automation applications. This is not a conventional enterprise AI role. You will help shape foundational AI capabilities for the future of industrial operations — where AI systems move from passive assistants to collaborators operating in complex real-world situation. You will work on frontier problems involving reasoning, autonomy, learning, optimization, and human-machine collaboration at industrial scale.
Responsibilities Develop agentic AI systems that assist with: Industrial software usage and workflow automation Application development and code generation Debugging and root-cause analysis Operational optimization and decision support Build AI systems that can interact with engineering tools, automation platforms, digital twins, historians, and operational data sources Design architectures that combine: Large language models (LLMs) Tool-using AI agents Retrieval and memory systems Reinforcement and adaptive learning approaches Multi-modal reasoning over text, code, logs, alarms, and operational signals Enable AI systems to learn from real-world interactions, operator feedback, and system outcomes Collaborate with domain experts in automation, controls, robotics, and industrial operations to bring advanced AI capabilities into production environments The Essentials - You Will Have: Bachelor's Degree in Relevant Field The Preferred - You Might Also Have: Typically requires minimum 5 years relevant experience Generative AI / LLMs Agentic AI systems Reinforcement learning Machine learning systems engineering Industrial AI or cyber-physical systems Experience building AI-enabled applications using modern frameworks and tooling Software engineering skills in Python and modern AI ecosystems Familiarity with orchestration frameworks, tool-use architectures, memory systems, or autonomous AI workflows Work across departments and translate research concepts into deployable systems Curiosity, creativity, and a desire to build AI systems that work with the physical world Industrial automation, robotics, or control systems Digital twins and simulation environments Time-series analytics and operational optimization Edge AI deployment Human-AI collaboration systems Multi-agent architectures Vision-language or multimodal models What We Offer Health Insurance including Medical, Dental and Vision 401k Paid Time off Parental and Caregiver Leave Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life. To learn more about our