At Sun Life,we’redriven by our Purpose: helping our Clientsachieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way. Job Description: The Student, AI Developer will support the design, development, and testing of AI-enabled capabilities for the Governance by Design (GbyD) platform. Working alongside experienced engineers, product managers, and business partners, the successful candidate will help build and enhance solutions that streamline governance processes, improve user experiences, and explore the practical application of Generative AI within an enterprise environment. This role provides an opportunity to gain hands‑on experience with contemporary software development, AI technologies, cloud platforms, workflow automation, and enterprise product delivery while contributing to a strategic transformation initiative. What do you need to succeed? Preferred Skills Knowledge of Python, JavaScript, or TypeScript through coursework, projects, or previous co‑op experience Interest in Artificial Intelligence, Generative AI, and emerging technologies Understanding of software development fundamentals and APIs Familiarity with Git and collaborative development practices Basic knowledge of cloud platforms such as AWS or Azure Strong analytical and problem‑solving skills Ability to learn quickly and collaborate effectively within a team Qualifications Currently enrolled in a Computer Science, Software Engineering, Data Science, AI, or related program Upper-year undergraduate student (3rd or 4th year preferred) Demonstrated interest in software development, AI, automation, or cloud technologies Experience with academic, personal,



or co‑op projects involving programming or data analysis Strong communication and teamwork skills Nice‑to‑Have Technologies Exposure to any of the following technologies would be considered an asset: AWS Bedrock or similar AI platforms Generative AI and Large Language Models (LLMs) Retrieval‑Augmented Generation (RAG) concepts Prompt engineering fundamentals Vector databases API development and integrations ServiceNow or Microsoft Teams integrations AI testing and evaluation approaches Knowledge of governance, risk, compliance, or enterprise architecture concepts What will you do? Assist in building and testing AI‑enabled features and workflow capabilities Support development activities using Python, JavaScript/TypeScript, and cloud‑based tools Help evaluate and improve AI‑generated outputs, prompts, and user experiences Participate in application integration, testing, troubleshooting, and quality assurance activities Collaborate with product, engineering, and business teams to understand user needs and requirements Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives Research emerging AI technologies and help identify opportunities to apply them within enterprise workflows Key Outcomes: The student will support the team in developing and enhancing AI‑enabled capabilities that improve governance workflows and user experiences Areas of contribution may include:AI‑powered summarization and insight generation Identification of content gaps and improvement opportunities within submissions Support for workflow automation and reviewer decision‑support capabilities Guided submission experiences and dynamic question flows Integration of AI capabilities with enterprise platforms and workflows Testing, evaluation, and refinement of AI‑generated outputs User experience enhancements across end‑to‑end governance processes What Makes This Opportunity Unique This role offers an opportunity to work on a strategic enterprise initiative exploring the application of AI within governance and risk management processes. The student will gain hands‑on experience with modern AI technologies, cloud platforms, workflow automation, and product development practices while collaborating with experienced professionals across business and technology teams. The successful candidate will contribute to real‑world AI solutions that help improve efficiency, transparency, and decision‑making, while developing practical skills that are increasingly valuable in the evolving AI and software engineering landscape. What's in it for you? Gain practical experience designing and delivering enterprise AI solutions while learning how Generative AI, cloud technologies, workflow automation, and governance processes come together to solve real business challenges. The successful candidate will work directly with experienced practitioners and contribute to the development of innovative AI‑enabled capabilities used across the organization. This role is ideal for a student who is curious about AI and software engineering and is looking for an opportunity to apply classroom learning in a real‑world enterprise setting. The student will gain exposure to Generative AI, workflow automation, cloud technologies, product delivery, and user‑centered solution design while contributing to a highly visible strategic initiative. The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for. Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans,

📌 Student, Ai Developer (Toronto)
🏢 Sun Life Financial
📍 Toronto