2027 Enterprise AI Intern at Schonfeld Strategic Advisors in New York, NY

  • Company: Schonfeld Strategic Advisors
  • Location: New York, New York, United States
  • Job type: internship
  • Workplace: onsite
  • Posted: 2026-10-28

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Job description

The Role We are seeking an exceptional AI Enablement intern to join our Enterprise AI team in the New York City metro area, where they will own a backlog of prioritized use case solutions and deliver them end to end - from requirements gathering with business stakeholders through solution design, build, testing, rollout and adoption tracking. You will work hands-on with the business teams who use what you build, partnering with our Platform & Tools function to build on the firm's shared AI infrastructure rather than reinventing it. This is a conversion-track role: strong performers are considered for a full-time offer at the conclusion of the program. What You’ll Do You will own a backlog of prioritized AI use cases and take each one from idea to adoption. That means sitting down with business stakeholders to gather and sharpen requirements, designing a solution that fits the problem, building and testing it, rolling it out to users, and tracking adoption and impact after launch so we know what is actually working. You will partner closely with our Platform & Tools function, building on the firm's shared services, APIs, SDKs and evaluation tooling, and feeding back what your use cases need from that platform. You will collaborate with senior team members to learn what it takes to deliver AI solutions that stick in a fast-paced, technology-driven investment environment. Additionally, you'll get the opportunity to network and socialize with peers throughout the internship. What You’ll Bring What you need: A Bachelor’s, Master’s, or PhD degree in a technical field such as computer science, statistics, mathematics, physics, or electrical engineering (ideally with one year left in your academic program) Excellent programming skills in Python, with Go, Java or TypeScript experience being a bonus A working understanding of how LLM-based applications are built and operated (prompting, retrieval, agents, model APIs), and judgment about where they are and aren't the right solution The ability to translate an ambiguous business problem into clear requirements and a scoped, deliverable solution Excellent communication skills, with the confidence to work directly with non-technical business stakeholders and drive adoption of what you build Creative problem-solving skills and a bias toward shipping working solutions end to end Strong attention to detail We’d love if you had: Previous financial industry experience although it is not required Hands-on exposure to cloud platforms (e.g., AWS or Azure) and to building on shared internal services, APIs or SDKs Experience delivering a project directly to end users, including gathering requirements, running testing and measuring usage after launch Our Internship Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact. Who We Are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Q

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