DriveWealth
AI Consulting Associate Program (AI CAP) Engineering Intern - Summer 2026
DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.
There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing!
About the Role
We are seeking an AI Engineering intern who will work on real AI agentic automation problems, designing, prototyping, and developing AI-powered agents to help the business and engineers achieve faster, smarter work. You will collaborate directly with senior engineers and architects, receiving mentorship and design reviews, and gaining exposure to modern GenAI patterns, including agent orchestration, tool-calling, retrieval, and evaluation, within an enterprise and fast-paced fintech environment. This is an opportunity to work in a collaborative, and innovative environment.
Launch your career developing real, impactful AI solutions in the lightning-fast world of fintech!
Our summer program will be 10-12 weeks from May - August 2026 with the expectation of being in the office 3-4 days per week, as determined by the sponsor. Compensation will be set at an hourly rate of $35-40 per hour. Top performing associates may have the opportunity to be considered for full-time roles at DriveWealth at the conclusion of the program, based on performance and team needs.
What You’ll Do
- Design, prototype and develop agentic AI workflows that automate or augment business or engineering tasks (e.g., analysis, triage, documentation, knowledge synthesis)
- Build internal tools or proof‑of‑concept systems that combine LLMs, APIs, and automation frameworks into end‑to‑end agentic solutions
- Experiment with different agent architectures (single‑agent vs. multi‑agent, planner/executor patterns, 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
- Clearly document designs, experiments, and lessons learned so work can be reused or extended by the team
- Demo your work directly to customers and the leadership team
What You’ll Need
- Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
- Experience programming in Python (for automation, prototyping, and scripting) and SQL
- Familiarity with APIs, JSON, and basic service integration
- Foundational understanding of large language models and how they are used in applications (prompting, tool use, retrieval, etc.)
- Strong curiosity and willingness to explore new, rapidly evolving technologies
- Bring a growth mindset, ask questions, and enjoy experimenting and iterating
- Systems thinking: able to reason about workflows, edge cases, and unintended consequences
- Clear written and verbal communication, especially when explaining technical ideas to non‑engineers
- Ownership mindset: you take responsibility for outcomes, not just tasks
- Ability to accept feedback and iterate quickly
Nice to Have
- Experience with or exposure to agentic frameworks (AWS Strands SDK, Longchain, etc)
- Exposure to cloud platforms or containerized environments
- Familiarity with cloud environments (AWS preferred) is a plus.
- Experience building internal tools, CLIs, or low-code web apps
- Interest in AI evaluation, testing, or reliability techniques
Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.
Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.
We do our best work when we’re in the same room. To maintain the speed our partners expect, our New York and Chicago teams work in-office 4 days a week. We’ve found that being physically side-by-side is the only way to solve complex problems in real-time and stay truly accountable to the products we ship. When you’re here, you’re working directly with the people making the decisions. To support that work, we provide competitive compensation, equity, and a 401(k) match. We also offer full insurance coverage, a wellness reimbursement, a company-provided phone, and a personal development allowance. Finally, we value the time you spend away from the office with generous PTO, observed holidays, and extended leave.
How We Think About AIWe leverage AI to work smarter and move faster. We seek AI curious talent who are proactive about using emerging tools to increase signal quality, reduce friction and improve outcomes to deliver product faster, provide better service to our partners, and to streamline processes. Your ability to leverage our internal tools and technology to drive results is as important to us as your core domain expertise.
CompensationPay is generally based upon the level, complexity, responsibility, location and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a recruiter about our compensation philosophy and other available benefits. This role is eligible for base, bonus, equity, 401(k) match, and heavily subsidized benefits and perks.
Equal Employment OpportunityTo build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].
Agency DisclaimerDriveWealth does not accept agency resumes. Do not forward resumes to our jobs alias, employees, or any other organization location. DriveWealth is not responsible for any fees related to unsolicited resumes.
Top Skills
DriveWealth Jersey City, New Jersey, USA Office
Located right across the water from NYC's financial district, our technology office is only one stop away from Manhattan.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
