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Co-op/Intern AI Quality, Evaluation & Security

Kinaxis
3 days ago
Internship
On-site
Kanata, Canada
Direct

## About Kinaxis
Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!
In 1984,
...
we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global offices and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.
## About the team
The AI Innovation team builds Kinaxis operational orchestration: intelligence embedded in how an enterprise runs. It continuously senses what is changing, interprets what it means, decides what to do, and acts on it. Our focus is agents that reason about the problems an enterprise faces, decompose them, and orchestrate the models, tools, and deterministic engines that solve them.
Data and capable models are the starting point. The frontier is connecting signals to business context, decisions, and action, and that is where this team works. We sit at the intersection of applied research, product innovation, and customer impact, taking methods that are still being invented and engineering them into capabilities we test and deploy directly with customers.
Enterprise Agents are a new category of software with unique quality, reliability, observability, and security challenges. We will explore that frontier, learning the emerging methods and best practices for evaluating, monitoring, investigating, and improving AI Agents in a supply chain context.
## Location & Term
You must be in the Ottawa, Canada office at least three days a week. This is a full-time, 8 or 12-month position, starting January 2027.
## Co-op / Intern Eligibility
This position is open to co-ops and interns. To be eligible, you must be currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date.
## Compensation
$27.04 - $39.66 hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience.
## What you will do
You will work directly with a senior architect on the machinery and methodology behind how we evaluate, monitor, and investigate agentic AI systems. You will take on a scoped project within our AI assurance toolkit, which could focus on evaluation infrastructure, quality engineering, security analysis, or the practical tooling needed to understand agent behavior in real products. Example project areas include:
- Extend the harness, improving how evaluation runs are configured, executed, and reproduced, or building the tooling that makes results comparable across model, prompt, data, and version changes.
- Investigate how to make evaluation results meaningful: scoring and aggregation approaches, run-to-run variance, sample size, and what it takes to say with confidence that a change made things better.
- Research the landscape of agent evaluation tooling and techniques, and prototype the ideas worth adopting.
- Investigate security and trustworthiness questions for AI agents,

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