AI Solutions Intern (4-Month Contract)

Vancity • Vancouver, BC

16h • Hybrid

About The Position

As an Artificial Intelligence (AI) Intern, you will join Vancity’s AI team to help identify, validate, and scale responsible AI and Generative AI use cases that create meaningful member and business value. Working alongside Senior Engineers, Managers, and Senior Managers, you will gain hands-on experience supporting AI initiatives from idea generation and experimentation through to deployment. You will contribute to proof-of-concept development, machine learning and Generative AI experimentation, data preparation, and solution evaluation while learning how enterprise AI solutions are delivered within a regulated environment. We are seeking curious, innovative, and results-oriented students who enjoy solving complex problems and exploring emerging technologies. This is a Full-time, Temporary role based at our Vancity head office and will report directly to the AI Manager or Data Science Manager. This 4-month internship runs from September to December. While this position provides a hybrid work arrangement, you will be expected to be on-site for events and business demands.

Requirements

• Current enrollment in or recent graduation from an undergraduate or graduate program in Computer Science, Software Engineering, Data Science, Data Engineering, Mathematics, or a related discipline
• Eligibility for a co-op, internship, or work-integrated learning opportunity
• Understanding of machine learning fundamentals including supervised and unsupervised learning concepts
• Familiarity with Generative AI concepts including Large Language Models, prompt engineering, embeddings, and Retrieval-Augmented Generation
• Experience using Python for analysis, experimentation, or application development
• Basic experience with SQL, data manipulation tools, notebooks, or data preparation techniques
• Interest in cloud computing, AI deployment, and production AI systems
• Ability to work effectively in a fast-paced environment with changing priorities and competing demands

Nice To Haves

• Experience or coursework related to Azure, Azure Machine Learning, Azure AI Studio, Azure Foundry, or Azure DevOps
• Familiarity with Databricks, Spark, data engineering pipelines, CI/CD, or MLOps concepts
• Experience with hackathons, internships, APIs, cloud infrastructure, Power Automate, Power Apps, or personal AI projects

Responsibilities

• Researching and assessing AI use case feasibility across Machine Learning and Generative AI opportunities
• Exploring, cleaning, and transforming data to support proof-of-concept experiments and model development
• Building and evaluating machine learning and Generative AI solutions using a variety of techniques and tools
• Experimenting with prompts, embeddings, retrieval approaches, fine-tuning methods, and classical machine learning models
• Participating in scrum ceremonies including stand-ups, sprint planning sessions, reviews, and demonstrations
• Supporting deployment activities using cloud-based AI platforms, Azure services, Databricks, and MLOps concepts
• Documenting technical findings, trade-offs, and recommendations to support decision-making
• Collaborating with engineers, data scientists, project managers, and business stakeholders across AI initiatives
• Applying responsible AI principles while exploring innovative solutions to business challenges

Benefits

• Competitive rewards and benefits
• Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
• Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
• Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
• Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
• Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed