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AI Lead

Job in St. John's, St. Johns, Newfoundland / NL, Canada
Listing for: Super.com
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: St. John's

This range is provided by  Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$/yr - CA$/yr

About

We started  to help maximize lives – both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that  is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

About This Role

At  we are using AI to drive millions of dollars of business value and significant productivity gains for both our technical and non-technical orgs (see our playbook!). While we’re recognized as a company that’s leading the charge on new AI-first ways of working, we’re looking to kick it into hyperdrive by bringing on an AI Lead. The AI Lead will operate centrally in our org, and will play a key strategic role in our company.

The role will formally report into our CTO, and will embed with both technical and non-technical teams across our company and product verticals. The role encompasses many exciting opportunities and responsibilities covered in the section below. Importantly, the role will not be research oriented - it will focus on the integration of AI, primarily via vendors (OpenAI, Cursor, etc.), to increase productivity and drive business and customer value.

This role will also primarily be an Individual Contributor role, with the possibility of leading a small team in the future. Be ready to get your hands dirty and ship features to our millions of customers!

What you’ll be working on:
  • Partner with cross-functional stakeholders to identify, evaluate, and prioritize AI use cases that drive millions of dollars of business impact
  • Embed in tech teams to drive the success of technical AI projects from end-to-end, including data preparation, AI technology selection (ex. which LLM, parameter tuning, prompt engineering, model fine-tuning), output evaluation, and refinement
  • Embed in non-tech teams to drive the success of AI vendor integrations, including vendor selection
  • Design and implement AI platform components to make it as easy as possible to integrate AI for emerging use cases
  • Lead internal AI guilds to evangelize AI capabilities, educate team members on AI technologies and methodologies, and develop best practice guidelines
  • Stay abreast of the latest developments in AI, integrating them internally when they’re well-suited to drive business outcomes
  • Champion leveraging AI tooling for software development, and ensure our interview process brings in strong candidates who are even more productive by leveraging AI tooling
  • Own our company strategy for leveraging AI and devising new AI-first ways of working
Who we’re looking for:
  • Masters or PhD in Artificial Intelligence or a related field or equivalent expertise
  • Experience designing and implementing AI & ML solutions that drive business impact
  • Strong familiarity with cloud platforms & AI providers and their Gen AI & ML services
  • Expertise in AI technology selection, evaluation, and refinement (ex. which LLM, parameter tuning, prompt engineering, model fine-tuning)
  • Analytics expertise, including data preparation and AI output evaluation
  • Proficient with SQL and Python
  • Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams, both tech and non-tech
  • Experience mentoring and guiding teams - a passion for educating and evangelizing
  • Knowledge of best practices in AI development, including coding standards, version control, testing, evaluation, and documentation
Our Technology:
  • We use a state of the art architecture powered by Node and Python microservices and React frontend
  • We use Postgres for storage, Redis for caching, and Snowflake for our data warehouse
  • We use Gitlab for version control and CI/CD, and our infrastructure is hosted on AWS, making use of Kubernetes, RDS, etc
  • We…
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