Autonomous Testing AI Intern

Summary

This internship is an exciting opportunity for students who want to grow their skills in AI engineering autonomous software testing RAG pipelines and multiagent systems. You will work directly on real AI initiatives that support nextgeneration testing automation including AIdriven SDLC tools test suite optimization using clustering and deduplication code review agents integrated into Azure DevOps AIpowered Ranorex automation generators and multiagent Copilot solutions for QA teams. Throughout the internship you will gain handson experience in model prototyping prompt engineering data preparation agentic workflow automation MLOps practices and technical documentationproviding a strong foundation for future roles in applied enterprise AI.

In This Role Your Responsibilities Will Be:

• Building contextenabled AI models for code generation test case creation and backlog automation including data ingestion embedding pipelines and retrieval layers for RAG workflows.
• Applying clustering and deduplication techniques to streamline large test suites while documenting performance metrics and optimization insights.
• Developing AIpowered code review capabilities that evaluate coding quality security considerations and regression risks and integrating these features into Azure DevOps.
• Training and evaluating AI models that generate automated Ranorex scripts and validating script accuracy using structured testing and documentation.
• Creating multiagent Copilot solutions that deliver expert insights integrate with enterprise systems and enhance QA and DevOps productivity.
• Maintaining AI lifecycle practices including model versioning drift monitoring prompt evaluations and safety and guardrail assessments.
• Producing documentation dashboards workflow diagrams and evaluation summaries to communicate project progress and outcomes to stakeholders.

Who You Are

You embrace learning by exploring new ideas experimenting with unfamiliar tools and applying insights quickly to strengthen your work. You generate fresh solutions by staying curious questioning assumptions and seeking creative approaches to challenges. You take initiative driving tasks forward with energy and focus and you keep momentum by prioritizing meaningful progress. You adapt well when things change adjusting your approach and staying motivated even when faced with ambiguity.

For This Role You Will Need:

• Currently pursuing a degree in Computer Science Information Technology or a related field.
• Ability to complete at least 480 internship hours (open to required or voluntary internships).
• Ability to begin the internship on March 9 2026.
• Familiarity with Python and foundational machine learning concepts.
• Exposure to LLMs embeddings prompt engineering or RAG workflows through coursework academic projects or research.
• Familiarity with tools such as Git Azure DevOps Jupyter Notebooks or machine learning frameworks.
• Ability to collaborate effectively with others and contribute to problemsolving efforts.

Preferred Qualifications That Set You Apart:

• Experience working with clustering algorithms or test suite optimization techniques.
• Exposure to multiagent systems agentic workflows or AIpowered code review tools.
• Understanding of retrieval pipelines vector stores or embedding models.
• Ability to create dashboards documentation or workflow diagrams for reporting and communication.

Our Culture and Commitment To You

At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.