Summer 2026 AI Consulting Intern

Elire•Minneapolis, MN

1d•Hybrid

About The Position

Elire is a trusted Oracle consulting partner with over 20 years of experience delivering ERP, EPM, HCM, and Treasury transformations across public and private sector clients with their PeopleSoft, Oracle Cloud and Treasury Management Systems like Kyriba, FIS, etc. We combine deep business and technical expertise with a people-first, consulting-driven approach to help organizations modernize systems, improve decision-making, and prepare for the future of work. As AI continues to reshape how organizations operate, Elire is investing in responsible, human-in-the-loop AI solutions that enhance—not replace—our consultants and clients. Our Summer 2026 AI Consulting Intern role is designed to give emerging talent hands-on exposure to applied AI within a real consulting environment. The Summer 2026 AI Consulting Intern will support Elire’s internal AI initiatives and client-facing consulting teams by assisting with AI research, data analysis, automation use cases, and prototype development. This role is ideal for a graduate-level student interested in applied AI, analytics, and consulting, rather than purely academic research. Interns will work closely with consultants, solution architects, and internal innovation leaders to explore how AI can improve business processes, decision-making, and delivery outcomes across ERP, finance, HR, and operations domains.

Requirements

Currently pursuing a Master’s degree or graduate-level coursework in: Computer Science Data Science / Analytics Artificial Intelligence / Machine Learning Information Systems Engineering or a related technical field
Strong analytical and problem-solving skills.
Basic experience with one or more of the following: Python, R, or similar programming languages SQL and data analysis Machine learning concepts or AI frameworks
Ability to communicate technical concepts clearly and professionally.

Nice To Haves

Exposure to: Generative AI API , Understanding LLM mechanics, vectorization, property graph , and prompt engineering Cloud platforms (AWS, Azure, GCP, Oracle Cloud) BI or analytics tools (Power BI, Tableau, etc.)
Interest in consulting, client delivery, or enterprise systems.
Prior internship, project, or research experience involving applied AI or analytics.

Responsibilities

Assist in researching, testing, and documenting AI use cases related to consulting, analytics, automation, and decision support.
Support data preparation, analysis, and validation activities for AI-driven insights and models.
Help evaluate AI tools, platforms, and frameworks (e.g., LLMs, copilots, analytics tools) for internal and client use.
Build or support basic prototypes, scripts, dashboards, or workflows using Python, SQL, or other relevant tools.
Assist with prompt design, testing, and refinement for generative AI use cases.
Support integration of AI solutions with enterprise systems (ERP, HCM, EPM, analytics platforms) at a conceptual or proof-of-value level.
Create clear documentation, summaries, and visual artifacts to explain AI concepts, outputs, and recommendations to non-technical audiences.
Support consultants in translating technical findings into business-friendly insights.
Participate in internal working sessions, design discussions, and knowledge-sharing forums.
Engage in structured learning sessions related to consulting fundamentals, client delivery, and Elire methodologies.
Collaborate with mentors and peers across technology, functional, and analytics teams.
Present findings or mini-projects at the end of the internship.

Benefits

Real-world experience applying AI in a consulting and enterprise environment.
Exposure to how AI supports ERP, finance, HR, and operational decision-making.
Mentorship from experienced consultants and technical leaders.
Professional development focused on communication, problem-solving, and client-ready delivery.
A strong foundation for future roles in AI consulting, analytics, or technology advisory.

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