Advanced Analytics Research Scientist - Industrial Agentic AI

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!

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.

• 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

• 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

• 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 benefits package, please visit at www. raquickfind.com .

You will be part of a job family. Experience will be the determining factor for position level and compensation

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.