Artificial Intelligence Engineering Intern

Job Description

Artificial Intelligence Engineering Intern | Avanade

The Tone:
This is an internship at Avanade, located in multiple US locations. Avanade focuses on building intelligent, data-driven solutions for clients to support better business decisions. This role is crucial for students nearing graduation who are interested in applying artificial intelligence, analytics, and software fundamentals to real-world consulting challenges. The internship aims to transform how engaging, AI-powered experiences are designed and delivered for clients, combining creativity, analytics, and large-scale impact.

The TL;DR
• Role: Internship
• Location: Multiple US Locations
• Pay: $25 hourly
• Team: Client-facing delivery teams, collaborating with experienced consultants and engineers.
• Mission: Help build intelligent, data-driven solutions that support better business decisions.
• Tech Stack: Python, SQL, Power BI, Tableau, R, SAS, SPSS, LLMs, OpenAI, AI Foundry

What You’ll Actually Do
• Project Support: Support project teams in developing AI-enabled and data-driven customer solutions.
• Data Analysis: Contribute to exploratory data analysis to identify patterns, insights, and business opportunities.
• Knowledge Application: Apply foundational knowledge of statistics, programming, and data modeling to support AI and analytics use cases.
• Model Assistance: Assist with building and refining analytical models, pipelines, or prototypes used in client solutions.
• Visualization Input: Provide input on data visualization techniques and storytelling opportunities to communicate insights.

The Must-Haves
• Background: Currently pursuing a Bachelor’s degree in a technology-related field (Computer Science, Data Science, Engineering, Information Systems, or similar), with an expected graduation date in 2026 or 2027.
• Experience: Coursework or hands-on experience (academic, personal projects, or internships) related to data analysis, AI, or machine learning concepts, as well as programming and analytical problem-solving. Exposure to Python and analytics or visualization tools (e.g., SQL, Power BI, Tableau, R, SAS, SPSS) is required.
• Skills: Artificial Intelligence (AI), Machine Learning (ML), Software Development, Data analysis, Programming, Analytical problem-solving, Strong written and verbal communication.
• Bonus: Experience or exposure to AI / Generative AI technologies (e.g., LLMs, OpenAI, AI Foundry) is a plus. Interest in pursuing a full-time career in technology consulting after graduation.