Business Systems & AI Intern
- Toronto, ON, Canada
- Interac Corp. Head Office, Canada
The hourly pay rate for this position is $25, and the internship term runs from January to April 2027. · Full-time
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Job details
- Pay
- The hourly pay rate for this position is $25, and the internship term runs from January to April 2027.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Who We Are:
Every transaction matters. Every Canadian matters. At Interac, we protect both - driving trust, security, and inclusion, so our digital economy thrives.
Founded in 1984, Interac connects Canadians through secure digital payments, advanced identity verification and industry-leading fraud protection. Connecting banks, businesses, and individuals, Interac enables millions to send, receive, and manage money safely and effortlessly every day - across both digital and physical environments.
As the backbone of Canada’s financial ecosystem, Interac facilitates over 20 million transactions daily, supported by trusted partnerships with government and financial institutions. Consistently ranked as Canada’s most reputable financial technology brand, Interac is deeply embedded in the daily lives of Canadians.
Who You Will Work With:
You will join the Product Foundation team within Money Movement and work closely with Business Systems Analysts, Product partners, developers, Quality Engineering, and subject-matter experts.
During the internship, you will explore how AI can support the review of API specifications by identifying missing information, naming inconsistencies, conflicting definitions, validation gaps, and differences across specification versions. You will help develop and evaluate a controlled proof of concept, compare AI-generated findings with manually reviewed examples, and create repeatable workflows and guidance that improve the efficiency, consistency, and accuracy of API specification reviews.
This is a collaborative and hands-on opportunity to apply AI to a practical business and technology challenge. AI-generated observations will be validated by accountable team members before being used
What You Will Do:
- Assess the current API specification review process and identify pain points, repetitive activities, and common sources of rework in collaboration with the BSA and Product teams.
- Explore practical AI-assisted techniques for reviewing API specifications and detecting gaps, inconsistencies, and potential quality issues.
- Define a structured taxonomy and evaluation criteria for discrepancies such as missing fields, inconsistent naming, conflicting definitions, validation gaps, and differences between specification versions.
- Develop a controlled proof of concept that uses AI to compare and analyze selected API specifications and generate findings for human validation.
- Create structured reports that capture each discrepancy, its source reference, potential impact, confidence level, and recommended follow-up.
- Evaluate AI-generated findings against manually reviewed examples, document accuracy and limitations, and refine prompts or rules based on feedback.
- Work with subject-matter experts to validate observations and maintain clear traceability from identified issues through review and resolution.
- Develop user guidance, safeguards, and recommendations that support the future adoption or extension of AI-assisted API specification reviews across the Product Foundation, BSA, and Product teams
What You Bring:
- Basic understanding of LLMs, prompts, agents, and workflows
- Familiarity with APIs, data sources, and system integrations
- Ability to prototype solutions quickly and iterate based on feedback
- You are currently enrolled in a university or college program in a relevant discipline, like Data science, computer science, cybersecurity or IT
- Proven experience in data analysis, project management and/or business analyst
- Understanding of cloud infrastructure, data engineering and data management technologies
- Strong collaborative skills to work effectively with fraud teams and other stakeholders.
- Experience in data analysis, statistical modeling, and feature development within relevant industries
- Proficiency in SQL and Python for data manipulation and analysis
- Strong collaborative skills to work effectively with other teams and other stakeholders
- You have excellent communication skills to document requirements and workflows clearly
- Have strong attention to detail to improve analysis and specifications
Although not required, you have some familiarity or previous experience with the following:
- Understanding of the payments/banking industry/fintech/finance
What We’re Offering:
The hourly pay rate for this position is $25, and the internship term runs from January to April 2027. The exact amount will depend on factors such as skills, experience, and job-related knowledge. An internship opportunity at Interac also features:
- Flexible hybrid work model with monthly intern socials for better work-life balance
- Convenient downtown Toronto office located minutes away from Union Station
- Interac learning bootcamp designed to help you hit the ground running
Why Join Us?
At Interac, the impact we make, and the people who drive it, is profound. When you become part of our team, you’re joining a purpose-driven organization that’s shaping the future of digital finance in Canada. Here’s what you can expect:
Investing in the Future – Help us unlock digital prosperity for all Canadians.
Innovative Thinking – Collaborate on products, practices, and platforms that redefine what’s possible.
Inclusive Culture – Be empowered to bring your whole self to work and realize your full potential.
Inspiring Community – Work in an ecosystem where we lift each other up and rise together.
Intentional Support – Enjoy flexible, supportive offerings that prioritize your total wellness.
Additional Pre-Employment Requirements:
To ensure the integrity of our organization, successful candidates will be required to complete background checks, which may include, Canadian Criminal Credit Check, Canadian ID Cross-Check, Public Safety Verification, 5-year Employment Verification, Education Verification, Credit Check, and Social Media Check.
Equal Opportunity Employer
Interac is also an equal opportunity employer committed to fostering a diverse and inclusive workplace. We believe that innovation thrives when people from different backgrounds, experiences, and perspectives come together. That’s why we are committed to providing fair and equitable employment opportunities for all individuals, without discrimination based on race, color, ancestry, ethnic origin, place of origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, marital or family status, disability, or any other characteristic protected by applicable law.
If you require accommodation during any stage of the application or recruitment process, please contact us at humanresources@interac.ca. We will work with you to meet your needs.
Please be aware that certain individuals are misusing Interac Corp.’s name and logo to promote fictitious employment opportunities. Interac Corp. never requests, solicits, or accepts any form of payment in exchange for employment. Any such offers are fraudulent and should be disregarded. Interac Corp. assumes no liability for any claims, losses, damages, expenses, or inconveniences arising from or related to these fraudulent activities. Such communications do not constitute an offer or representation by Interac Corp. or its subsidiaries and affiliates.
More about this job
Responsibilities
The intern will assess API specification review processes and develop AI-assisted techniques to identify inconsistencies and quality gaps. They will also create structured reports and user guidance to support the future adoption of AI-driven review workflows.
Requirements
Candidates must be currently enrolled in a university or college program in a relevant discipline such as computer science or data science. Proficiency in SQL and Python, along with a basic understanding of LLMs and API systems, is required.
Skills
- LLMs
- Prompt engineering
- API specification
- Data analysis
- SQL
- Python
- Statistical modeling
- Cloud infrastructure
- Data engineering
- Business systems analysis
- Project management
- Feature development
- Cybersecurity
- Technical documentation
- Quality engineering
Benefits
- Flexible hybrid work model
- Intern socials
- Learning bootcamp
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
- Engineering
Keywords
- LLMs
- Prompts
- Agents
- APIs
- Data sources
- System integrations
- Data science
- Computer science
- Cybersecurity
- IT
- Data analysis
- Project management
- Business analyst
- Cloud infrastructure
- Data engineering
- Data management
- Fraud
- Statistical modeling
- Feature development
- SQL
- Python
- Fintech
- Banking
- Payments
- API specifications
- Proof of concept
- Taxonomy
- Workflow automation
- Technical documentation
- Quality assurance