Intern - AI Center of Excellence

Nassau Financial Group; Hartford (CT); On-site; USD 28,000 - 36,000; Part time

Job summary

Nassau Financial Group in Hartford, CT offers a 10-week summer internship in our AI Center of Excellence. The intern will help teams leverage approved enterprise AI tools, research use cases, and document workflows under supervision.

You will prototype in controlled environments and test results against criteria across IT, security, risk, and compliance. Responsibilities include creating practical AI training materials, mapping business processes, and helping define pilot requirements while

Qualifications

• Pursuing undergraduate or graduate degree in CS/IS/DS/Analytics/Finance/Insurance or related field; projects welcome.

Responsibilities

• Develop AI enablement materials for enterprise tools like ChatGPT/Claude.
• Interview owners and map workflows for annuities, investments, finance, IT.
• Draft pilot requirements, tool permissions, escalation rules, acceptance criteria.

Skills

Python

SQL

APIs

AWS

Data analysis

Automation

Education

Undergraduate/Graduate student in CS/IS/DS/Analytics/Finance/Insurance

Tools

AWS

APIs

Job description

Application Deadline: October 31, 2026

Nassau’s 10-week, 2027 summer internship program in our Hartford, CT office prepares college students for careers on the cutting edge of insurance and asset management. The AI Center of Excellence (CoE) Intern will help employees use approved enterprise AI tools effectively and support the organization’s early exploration of agentic AI. Working with the AI CoE Lead, business teams, technology, information security, privacy, risk, and compliance, the intern will research use cases, document workflows, build limited prototypes in approved environments, and test results against agreed criteria. This is a supervised learning role with meaningful project ownership. Business and control owners retain responsibility for approvals, production changes, and decisions that affect customers, investments, or financial records.

Principal Duties And Responsibilities

• Everyday AI enablement: Develop practical example and training materials for approved enterprise ChatGPT and Claude capabilities. Gather user feedback and summarize adoption barriers and recurring support questions.
• Use case discovery: Interview process owners and map selected annuity, investment operations, finance, and IT workflows. Record the current steps, data involved, handoffs, decision points, potential benefits, and human approvals.
• Agent pilot preparation: Help distinguish tasks suited to drafting, search, workflow automation, and agentic AI. Assist in writing pilot requirements, tool permissions, escalation rules, and acceptance criteria for approved use cases.
• Prototype and evaluation: With supervision, create representative test cases; measure quality, failure modes, time saved, and whether reviewers can understand and correct outputs.
• Risk and documentation: Document privacy and security considerations, source traceability, human review points, and known limitations. Maintain a use case inventory, test evidence, decision log, and concise readouts for the CoE

Knowledge, Skills And Abilities

• Currently pursuing an undergraduate or graduate degree in computer science, information systems, data science, business analytics, finance, insurance, or a related field; equivalent relevant projects or experience are welcome.
• Able to explain a process clearly, ask useful questions, and document findings for technical and nontechnical colleagues.
• Familiarity through coursework or projects with generative AI, data analysis, software development, business process improvement, or automation.
• Comfortable learning unfamiliar tools and testing claims against evidence rather than assuming an AI output is correct.
• Able to handle confidential information responsibly and follow access, data handling, and review procedures.
• Experience with Python, SQL, APIs, low code automation, or cloud services such as AWS.
• Experience comparing AI outputs with reference answers, creating test cases, or assessing errors and edge cases.
• Interest in annuities, investment operations, asset management, finance, and regulated business processes.
• Experience designing short demonstrations or training content for end users

Compensation

Nassau maintains a holistic compensation philosophy focused on competitive base salaries, performance driven incentives, and unique professional development opportunities. The combination of compensation, benefits, and an entrepreneurial culture along with related experiences is key to recruiting and retaining talent. Our compensation system is designed to reward performance, support development and job growth, and compensate individuals relative to their contribution to our organization. The base pay for this role is: $23/hr

Based in Hartford, Connecticut, Nassau Financial Group is a growth focused and digitally enabled financial services company with a fully integrated platform across insurance and asset management. Nassau was founded in 2015 and has grown to $1.6 billion in total adjusted capital, $24.8 billion in assets under management, and 350,000+ policies and contracts as of June 30, 2026.

As part of a young and growing financial services enterprise, our employees are tapping into a new entrepreneurial spirit while they build on a long track record of putting customers first, understanding the evolving income and protection needs, and developing quality products to meet those needs.

Nassau provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.