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Labs Asset Foundry Consulting Intern

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: West Monroe
Apprenticeship/Internship position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 47000 - 63000 USD Yearly USD 47000.00 63000.00 YEAR
Job Description & How to Apply Below
Position: 2027 Labs Asset Foundry Consulting Intern

Launch your consulting journey with West Monroe

West Monroe is seeking Consulting Interns to join our Labs Assets Foundry team within our Technology and Experience (Tech Ex) Practice.

As a Labs Assets Consulting Intern
, you’ll support the team’s portfolio of proprietary software assets, AI capabilities, and reusable platforms that enable scalable, differentiated client delivery. You will work with Product Management, Engineering, Experience Design, Data & AI, and Consulting team members to understand technology roadmaps, engineering standards, and help ensure our products are secure, scalable, and built for long-term success. You will gain exposure to modern software engineering practices, cloud-native architectures, and AI-enabled capabilities.

You will work alongside experienced Product, Engineering, Design, Data & AI, and Consulting professionals, gaining hands-on experience through coursework, team projects, prototypes, and real product development activities. You are not expected to have experience with every technology listed; we are looking for strong fundamentals, curiosity, and a willingness to learn.

Primary Responsibilities Asset Architecture & Engineering Support
  • Support the development and enhancement of West Monroe's Asset Suite, contributing to scalable, secure, and maintainable technology solutions.
  • Collaborate with engineering team members to learn and apply modern software development, cloud, and architecture practices.
  • Assist with building, testing, and improving reusable components and solutions across products and platforms.
  • Participate in technical discussions and gain exposure to how engineering teams make architecture and technology decisions.
AI & Emerging Technology Exploration
  • Explore opportunities to apply Generative AI, intelligent agents, automation, and other emerging technologies within West Monroe's Asset Suite.
  • Assist with prototyping, testing and evaluation AI-enabled product features using modern tools and platforms.
  • Learn and apply responsible AI, security, governance, and development practices while contributing to innovative solutions.
  • Leverage AI tools to accelerate analysis, documentation, research, and solution exploration while applying critical thinking to evaluate the accuracy and usefulness of outputs.
  • Explore how AI, automation, and data technologies can improve asset usability, generate insights, and support more efficient client delivery.
Engineering & Team Collaboration
  • Work alongside experienced engineers to develop technical skills and contribute to high-quality product solutions.
  • Apply modern development practices and tools while gaining hands-on experience with reusable frameworks and cloud-based technologies.
  • Collaborate with Product, Design, Data & AI, Consulting, and Engineering team members to understand product goals and contribute to technical solutions.
Product & Business Collaboration
  • Partner with cross-functional team members to understand business and user needs and translate them into product enhancements.
  • Support the continued development and adoption of the Asset Suite by contributing to solutions that address real business challenges.
  • Participate in team planning, innovation initiatives, and product development activities while gaining exposure to the full technology product lifecycle.
Core Technologies
  • Programming languages such as Python, JavaScript, Type Script, Java, C#, or another modern programming language.
  • Web and application development concepts, including APIs, JSON, reusable components, and basic software design.
  • Data technologies such as SQL, relational databases, data modeling, or data integration concepts.
  • Cloud platforms and services, including introductory exposure to Azure, AWS, or Google Cloud.
  • Generative AI, large language models, prompt design, AI agents, automation, or machine learning concepts.
  • Software engineering tools and practices, including Git, testing, debugging, Agile/Scrum, CI/CD, and issue tracking.
  • Familiarity with these technologies through coursework, academic projects, internships, personal projects, hackathons, or student organizations is valued.
What You'll Bring To The Team
  • Sharp analytical thinking and an interest…
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