Chicago Hiring Consultant Intern 2027 (EAI)

Launch Your Career Like an IBMer

Every IBMer has a story, and for many it started with an internship. As an IBM intern, you will gain experience and begin working, thinking, and growing like an IBMer. From day one, you will contribute to real client projects across industries such as analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside experienced IBMers.

You will develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program. Apply only to roles that match your skills and experience, and check your IBM Careers account regularly for status updates on each application.

Role Overview

Support strategic consulting initiatives focused on Enterprise Application Integration (EAI). Assist in analyzing business processes, integration challenges, and technology strategies while working with consultants and stakeholders to find ways to improve business outcomes through connected systems and digital transformation.

Key Responsibilities

• Research integration trends, APIs, middleware, cloud platforms, and emerging technologies.
• Support assessments of business processes and application landscapes.
• Help develop strategy recommendations, presentations, and client deliverables.
• Analyze data and identify integration opportunities across enterprise systems.
• Take part in workshops, stakeholder interviews, and requirements gathering sessions.
• Contribute to business cases, roadmaps, and transformation strategies.
• Support project planning and change management activities.

Program Details

The primary internship program runs May to July 2027 (10 weeks).

Core Competencies

Strategic Thinking, Business Analysis, Collaboration, Research, Communication, Adaptability. Interns should be able to understand client needs and challenges and apply creative, logical thinking to identify solutions, build data-driven recommendations, and use foundational quantitative analysis.