AI Consulting Associate Program (AI CAP) Product Owner Intern - Summer 2027

DriveWealth•Chicago, IL

21d•$35 - $40•Hybrid

About The Position

DriveWealth is seeking an AI Product intern to work on agentic AI automation problems. The intern will design, prototype, and develop AI-powered agents that help business teams and engineers work more efficiently. The role includes collaboration with senior engineers and architects, mentorship, and design reviews, with exposure to agent orchestration, tool-calling, retrieval, and evaluation in an enterprise fintech environment. The program expects participants to use the models, frameworks, and protocols best suited to summer 2027. The summer program runs 10–12 weeks between May and August 2027. Interns are expected to work in the office three to four days per week, as determined by the project sponsor. Compensation is $35–$40 per hour. Top-performing associates may be considered for full-time roles after the program, depending on performance and team needs. Applicants must have a graduation date in 2027 or 2028 and be authorized to work in the United States without current or future visa sponsorship. DriveWealth is a global B2B financial technology organization that provides an API-based platform for partners to offer investing and trading experiences. The company describes its work environment as hybrid and emphasizes in-person collaboration. It offers compensation, equity, benefits, and perks, including a 401(k) match, insurance coverage, paid parental leave, wellness reimbursement, a company-provided phone, a personal development allowance, PTO, and observed holidays.

Requirements

Currently pursuing an undergraduate or graduate degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field.
Graduation date in 2027 or 2028.
Experience programming in Python for automation, prototyping, and scripting, and in SQL.
Familiarity with APIs, JSON, and basic service integration.
Foundational understanding of large language models and their use in applications, including prompting, tool use, and retrieval.
Curiosity and willingness to explore rapidly evolving technologies.
Growth mindset, including asking questions and experimenting and iterating.
Systems thinking and ability to reason about workflows, edge cases, and unintended consequences.
Clear written and verbal communication, particularly when explaining technical ideas to non-engineers.
Ownership mindset and responsibility for outcomes, not only tasks.
Ability to accept feedback and iterate quickly.
Authorized to work in the United States on a full-time basis without current or future visa sponsorship.

Responsibilities

Design, prototype, and develop agentic AI workflows that automate or augment business or engineering tasks, such as analysis, triage, documentation, and knowledge synthesis.
Build internal tools or proof-of-concept systems combining LLMs, APIs, and automation frameworks into end-to-end agentic solutions.
Experiment with agent architectures, including single-agent and multi-agent approaches, planner/executor patterns, and human-in-the-loop workflows, and document tradeoffs.
Apply best practices when building AI-driven automation.
Evaluate agent behavior for reliability, correctness, and failure modes, and propose improvements.
Document designs, experiments, and lessons learned so the work can be reused or extended by the team.
Demonstrate work directly to customers and the leadership team.