AI Intern, Summer 2026
Northwestern Mutual
Job Description
Internship candidates can expect a full-time onsite internship program, running from June 1, 2026 through August 7, 2026. This internship opportunity is offered in Milwaukee, WI.
Carefully selected from universities, our interns bring distinctive ideas and perspectives to our organization. Our employees are passionate about building our emerging talent and future leaders. After application and initial screening conversation, interns are aligned interview and be hired to a specific team at NM based on their abilities and interests, providing exposure to real-world business perspectives through hands-on learning and significant work. In addition to their day-to-day tasks, interns participate in professional development workshops, senior leadership Q&A's, volunteer initiatives, networking/social events, and more!
Overview
We are building the next generation of employee enablement using AI — not as a concept, but as operational infrastructure.
This role focuses on designing and implementing real AI-assisted workflows that improve how employees and leaders access information, complete tasks, and interact with HR systems. You will work directly on applied AI projects, building prototypes and internal tools that translate emerging capabilities into practical, usable systems.
This is not a research internship. You will build and deploy working solutions used by internal teams.
Applied AI Builder Intern (HR AI & Workflow Automation)
Design and implement AI-assisted workflows that support HR and employee enablement use cases
Build internal tools and agent prototypes
Integrate AI capabilities with existing enterprise systems and knowledge sources
Prototype solutions that automate repetitive workflows or improve access to information
Document your designs and contribute reusable components and patterns for future development
Collaborate with AI strategy, UX, and platform teams to translate real-world needs into technical implementations
AI Systems & Knowledge Intern (AI Reliability, Evaluation & Knowledge Architecture)
Help design and implement evaluation frameworks to assess AI output quality and reliability
Analyze and improve how organizational knowledge is structured for AI retrieval and use
Identify gaps, inconsistencies, or risks in AI-assisted workflows
Help develop testing protocols, validation processes, and governance support tools
Contribute to documentation and operational practices that support scalable AI adoption
Collaborate with engineering, UX, and strategy teams to improve system reliability
Bring Your Best! What this role needs. Minimum qualifications
Pursuing a degree in Computer Science, Data Science, Information Science, or related field
Strong analytical thinking and attention to detail
Strong programming skills (Python, TypeScript, or similar)
Experience working with APIs and modern development tools
Comfort working with structured data and systems
Ability to work independently and translate ambiguity into structured approaches
Preferred skills and Proficiencies
Familiarity with AI or LLM systems
Experience working with data analysis, evaluation, or information architecture
Interest in AI reliability, governance, system design, applied AI, or workflow automation
Experience building automation tools, bots, or workflow systems
Familiarity with cloud platforms or enterprise systems
Ability to independently design and implement working technical solutions
Strong problem-solving ability and attention to detail
Compensation Range:
Pay Range - Start:
Pay Range - End:
$30.00We believe in fairness and transparency. It’s why we share the salary range for most of our roles. Internship salaries are determined based on academic tenure and major. The standard pay structure is listed.
Build a strong career foundation with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.