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Arcesium

Cloud-native data management for investments

AI Transformation Intern

AI Application EngineeringPosted on Nov 11
InternshipNew York, NY, USAIn-person

About the Job

Requirements

  • The ideal candidate should be pursuing a major in a STEM field.
  • Have personal or professional coding experience and comfort with at least one programming language.
  • Have a basic understanding of web application design.
  • Have a demonstrated passion for technology and innovative problem solving.
  • Have exceptional verbal and written communication skills and the ability to construct rigorous arguments.

Responsibilities

  • Work with business and functional teams to identify opportunities for workflow automation, AI-assisted decision-making, and tasks that agents can take on.
  • Learn how internal processes work and turn them into clear problem statements and simple technical workflows.
  • Build prototype agents, automations, and internal tools using large language models, agent frameworks, and MCPs, on top of Arcesium’s corporate data and enterprise tools.
  • Share early versions with real users, gather feedback, and iterate quickly.
  • Support the path from prototype to production with engineering and security teams.
  • Contribute reusable components, templates, and playbooks for the team.
  • Help define success metrics and measure the impact and adoption of the project.
  • Present the project and learnings to the team and stakeholders at the end of the internship.

About the Company

Arcesium

Cloud-native data management for investments

Arcesium provides data management solutions for the investment industry. Its cloud-native platform gives hedge funds, asset managers, and financial institutions real-time access to cleaned, normalized data. The platform is scalable, letting clients grow operations, expand into new regions, and test new investment strategies without downtime. Revenue comes from subscription services plus professional consulting. Arcesium differentiates itself by offering a customizable infrastructure designed to accelerate clients’ data strategies, modernize operating models, and automate complex tasks while helping manage operational risk and improve investor communication. The company aims to help clients boost portfolio management and profitability by providing reliable data and tools that support end-to-end data workflows.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2015

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