AI and Automation Intern

Intern QMS AI & Automation Job Description Summary As an intern, you will work at the intersection of AI, automation, and real-world problem solving. You’ll help build simple AI-driven tools, experiment with new ideas, and contribute to making every day work faster, smarter, and more efficient while learning from experienced engineers and product teams Job Description Major accountabilities: Build simple AI/GenAI applications (e.g., chat assistants, document tools) using Python and low-code platforms like Copilot Studio Experiment with automation tools to identify and prototype practical use cases, iterating quickly based on feedback Prepare and process data for NLP tasks such as text classification, entity extraction, and semantic search Assist in configuring and testing GenAI workflows, including RAG-style integrations with internal knowledge sources Contribute to automation solutions using Microsoft tools (Copilot Studio, Power Platform, etc.) Organize and structure information, prompts, and knowledge sources to enable effective AI usage Run evaluations for AI solutions, collect metrics and user feedback, and support continuous improvement Write clean, maintainable Python code, use Git, and follow team development and review practices Collaborate with engineers, data scientists, and domain experts while actively participating in team discussions and demos Document solution designs, experiments, issues, and recommendations, ensuring knowledge is reusable across the team Key performance indicators: AI Solution Delivery: Develop and demonstrate 4-6 AI/GenAI prototypes or automations addressing real business use cases during the internship period. Business Impact & Innovation: Identify and validate 5+ automation opportunities , delivering solutions with measurable efficiency or productivity improvements. Technical Quality & Compliance: Deliver well-documented, maintainable solutions following coding standards, Git practices, testing procedures, and peer review requirements. Collaboration & Continuous Learning: Actively contribute to team discussions, demos, and knowledge sharing while continuously building expertise in AI, automation, and Microsoft technologies. Skills Desired Experience Level Entry Level