AI Consulting Associate Program – Product Manager Intern

DriveWealth

. Design, prototype, and develop agentic AI workflows that automate or augment business and engineering tasks .

Posted 11/12/2026internshipUnited StatesEntry Level💰 $35 - $40 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI workflows, particularly in automation and integration of large language models. Strong foundational knowledge in programming, systems thinking, and effective communication in technical contexts is essential.

Highest-signal resume keywords

Python ProgrammingSQL ExperienceLarge Language Models UnderstandingAPI FamiliaritySystems Thinking

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLAutomationPrototypingLarge Language ModelsAPIsJSONService IntegrationAgent OrchestrationEvaluation

Soft Skills

CuriosityGrowth MindsetClear CommunicationOwnership MindsetFeedback Acceptance

Tools & Technologies

Automation FrameworksAgentic SolutionsProof-of-Concept SystemsMulti-Agent ArchitecturesHuman-in-the-Loop Architectures

Industry Keywords

FintechEnterprise EnvironmentWorkflowsEdge CasesUnintended Consequences

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, prototype, and develop agentic AI workflows that automate or augment business and engineering tasks
Build internal tools and proof-of-concept systems combining LLMs, APIs, and automation frameworks into end-to-end agentic solutions
Experiment with single-agent, multi-agent, planner/executor, and human-in-the-loop architectures
Document architectural tradeoffs, designs, experiments, and lessons learned
Apply best practices when building AI-driven automation
Evaluate agent behavior for reliability, correctness, and failure modes
Propose improvements to agent performance and reliability
Demo work directly to customers and leadership
Collaborate with senior engineers and architects through mentorship and design reviews
Gain exposure to agent orchestration, tool-calling, retrieval, and evaluation in an enterprise fintech environment

Requirements

What you’ll need

Currently pursuing an undergraduate or graduate degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field
Must have a graduation date from December 2027 to December 2028
Experience programming in Python for automation, prototyping, and scripting
Experience with 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
Strong curiosity and willingness to explore new, rapidly evolving technologies
Growth mindset; willingness to ask questions, experiment, and iterate
Systems thinking, including reasoning about workflows, edge cases, and unintended consequences
Clear written and verbal communication, especially when explaining technical ideas to non-engineers
Ownership mindset and responsibility for outcomes
Ability to accept feedback and iterate quickly
Authorized to work for any employer in the United States without current or future visa sponsorship
Ability to commute to the New York Financial District or Chicago Loop office 3–4 days per week

Benefits

Comp & perks

Competitive compensation
Equity
401(k) match
Medical insurance
Dental insurance
Vision insurance
Disability insurance
Paid Parental Leave
Wellness reimbursement
Company-provided phone
Personal development allowance
Generous Paid Time Off (PTO)
Observed holidays
Potential consideration for full-time roles based on performance and team needs
Heavily subsidized benefits and perks