Senior Systems Application Engineer, Innovation

Responsibilities

• Innovate the future of how customers leverage Trusted Content across design, operations, and maintenance use cases and workflows
• Design integrated and complex automation systems using Trusted Content through modern methodologies
• Research and develop methodologies using artificial intelligence to harvest, develop, and validate Trusted Content
• Collaborate with Innovation Software Developers to develop requirements and review output
• Collaborate with the AI center of excellence, and customer co-innovation teams
• Collaborate with operating segment product management and development teams to influence and support product portfolio integration of Trusted Content needs
• Contribute to Trusted Content standards, policies and procedures
• Support global events such as Automation Fair, TechEd, or others as needed
• Support customer or operating segment projects on site as necessary

Qualifications

• Bachelor's Degree or equivalent years of relevant work experience
• Legal authorization to work in the US
• Ability to travel, including internationally, up to 25% of time
• Typically requires 8+ years of relevant experience in systems or applications engineering within industrial automation
• Degree in engineering, computer science, or related field
• Strong understanding of Rockwell Automation products like Logix, Optix, etc.
• Proficiency in programming languages commonly used in AI, such as Python, C++, C#, or Java
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Design, train, and evaluate AI models and algorithms
• Strong analytical and problem-solving skills for interpreting complex data sets
• Experience with data preprocessing, feature engineering, and data visualization tools
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions
• Collaborate effectively with multidisciplinary teams
• Present concepts and strategies to fellow developers and management
• Understanding of ethics and best practices in AI development