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2027 Enterprise AI Intern
Schonfeld
New York, New York, United StatesFresher1h agovia Greenhouse
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Stakeholder managementPythonLLMsStatistics
- Nice to have
- REST APIsJavaTypeScriptGo
- Work
- On-site in New York · internship
- Pay
- Not stated by the employer.
- Skill demand
- LLMs75%Python68%Stakeholder management36%Statistics9%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 28, 2026 · still open
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The Role
An AI Enablement intern will join the Enterprise AI team. This is a conversion-track role, with strong performers considered for a full-time offer.
Key Responsibilities
- Own a backlog of prioritized AI use cases from idea to adoption.
- Gather and sharpen requirements with business stakeholders.
- Design, build, and test AI solutions.
- Roll out solutions to users.
- Track adoption and impact after launch.
- Partner closely with the Platform & Tools function, building on shared services, APIs, SDKs, and evaluation tooling.
- Feed back use case needs to the Platform & Tools function.
- Collaborate with senior team members to learn AI solution delivery.
- Network and socialize with peers.
Requirements & Tech Stack
- Python (excellent programming skills)
- Go, Java, or TypeScript (bonus experience)
- Working understanding of how LLM-based applications are built and operated (prompting, retrieval, agents, model APIs)
- Judgment about where LLM-based applications are and are not the right solution
- Ability to translate ambiguous business problems into clear requirements and scoped, deliverable solutions
- Communication skills (confidence to work directly with non-technical business stakeholders and drive adoption)
- Creative problem-solving skills
- Bias toward shipping working solutions end-to-end
- Attention to detail
Qualifications
- Bachelor’s, Master’s, or PhD degree in a technical field (e.g., computer science, statistics, mathematics, physics, or electrical engineering)
- Ideally with one year left in academic program.
- Previous financial industry experience (not required, but a plus)
- Hands-on exposure to cloud platforms (e.g., AWS or Azure) (a plus)
- Hands-on exposure to building on shared internal services, APIs, or SDKs (a plus)
- Experience delivering a project directly to end users, including gathering requirements, running testing, and measuring usage after launch (a plus)