2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning
Guardian Life
- Location
- New York
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Posted
- Sep 14, 2026
Skills
About this role
2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning Our 2027 Summer Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices. This 10-week internship provides you with realistic experiences and information of what it is like to work at Guardian. For all roles, teams are assigned mid-spring. Doing so offers the ability to assign program participants to real-time, business-critical needs. Internship Dates: The internship program will run from Thursday, May 27, 2027- Friday, August 6, 2027 . We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Friday, November 13th, 2026, at 11:59PM ET or when role(s) have been filled, whichever comes first. You are: A current junior (graduation date of December 2027 or May 2028) or current sophomore (graduation date of December 2028 or May 2029) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment. Location (Housing is not provided): Bethlehem, PA New York, NY Holmdel, NJ You have:
Required Qualifications
Experience in software development, Python, TypeScript, JavaScript, or your favorite programming language, and familiarity with common libraries and frameworks Knowledge and strong interest in AI concepts, such as LLMS, Agents, MCPs, AI Skills, Context Engineering, and AI Coding Harnesses such as Claude Code, OpenAI Codex, Github Copilot, Hermes Excellent problem-solving skills with the ability to thrive in a demanding fast-paced work environment Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams Passion for learning and innovation You will: Be a self-starter- someone who enjoys “rolling up their sleeves and getting things done”, has high energy, strong work ethic, displays the ability to work independently, and is creative Participate in the design, development, and implementation of Generative AI applications, digital assistant solutions Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications Conduct research and stay updated on the latest advancements in natural language processing (NLP), machine learning, and LLM technology Have the opportunity to work and learn from supportive leaders, mentors, and team members across the organization who will help coach you as you develop your professional career Learn about Guardian’s purpose, values, how we work, and our suite of product and service offerings Build a network of colleagues and have a sense of community with other interns and other parts of the business Think broadly and ask questions about data, facts, and other information We offer: Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent Colleague Engagement Communities that create inclusive spaces where you can feel valued and connected Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability Eligibility: Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa