AI Enablement Intern

Job Description

AI Enablement Intern | Emerson

The Tone:
This is an internship at Emerson. Emerson is a global leader in automation technology and software, assisting critical industries like life sciences, energy, and advanced factory automation to operate more sustainably and boost productivity. This role is crucial for integrating artificial intelligence into real-world engineering work practices within Emerson’s Flow Controls engineering organization, aiming to significantly enhance productivity, quality, and speed across various engineering disciplines.

The TL;DR
• Role: Internship
• Team: Flow Controls engineering organization
• Mission: Integrate AI into engineering workflows to improve productivity, quality, and speed in product development and sustaining engineering across firmware, mechanical, and electrical disciplines.
• Tech Stack: Python, C#, JavaScript, Large Language Models (LLMs), Git, APIs, backend systems, cloud-based systems

What You’ll Actually Do
• Workflow Analysis: Identify and analyze engineering workflows that are suitable candidates for AI-assisted improvements across firmware, mechanical, and electrical disciplines.
• Prototype Development: Develop AI-based prototypes designed to automate tasks related to source code generation, documentation, reporting, and data analysis.
• LLM Application: Apply large language models (LLMs) to various engineering artifacts such as technical specifications, test results, and defect data to extract insights and automate processes.
• Tool Building: Develop agents, scripts, or other lightweight tools to directly improve engineering productivity and efficiency within the organization.
• Impact Measurement: Document the results of AI interventions and quantify the achieved productivity improvements through measurable metrics.

The Must-Haves
• Background: Currently pursuing a Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, or a closely related technical field.
• Experience: Demonstrated programming experience; practical experience working with AI models, automation principles, or data-driven systems.
• Skills: Programming in Python, C#, or JavaScript; practical application of AI models; understanding of automation principles; clear and effective technical communication with diverse engineering audiences.
• Bonus: Prior internship experience or significant project experience applying AI to solve real-world problems; experience integrating AI solutions into existing workflows or legacy systems; familiarity with version control systems like Git, working with APIs, and understanding backend or cloud-based systems; a genuine interest in industrial automation, embedded systems, or engineered products.