AI Enablement Intern at Emerson · 301 S…

Summary: Emerson is a global leader in automation technology and software, and they are seeking an AI Enablement Intern to support their Flow Controls engineering organization. The role focuses on applying artificial intelligence to enhance productivity and quality in engineering workflows, including collaboration with various engineering disciplines. Responsibilities: - Identify and analyze engineering workflows suitable for AI-assisted improvement - Develop AI-based prototypes to automate source code, documentation, reporting, and analysis tasks - Apply large language models to engineering artifacts such as specifications, test results, and defect data - Collaborate with firmware, mechanical, and electrical engineers to understand workflow challenges - Develop agents, scripts or other lightweight tools to improve engineering productivity - Identify and sponsor opportunities for larger scale AI productivity implementations - Document results and quantify productivity improvements - Present findings and demonstrations to engineering leadership Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Artificial Intelligence, Computer Science, or a related field - Programming experience in Python, C#, JavaScript, or similar languages - Experience working with AI models, automation, or data-driven systems - Ability to communicate technical concepts clearly to diverse engineering audiences Preferred Qualifications: - Prior internship or project experience applying AI to real-world problems - Experience integrating AI solutions into existing workflows or systems - Familiarity with Git, APIs, and backend or cloud-based systems - Interest in industrial automation, embedded systems, or engineered products Required Skills: Artificial Intelligence, Programming in Python Important Skills: C#, JavaScript, AI model experience, Automation, Data-driven systems Nice-to-Have Skills: Analytical thinking, Interest in automation, Embedded systems, Git, APIs, Cloud-based systems