AI Engineer (AI Engineering & Enablement)
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Decent opportunity combining flexible work arrangements with the potential to empower teams through AI technology.
- Flexible hybrid working model.
- Role focused on AI empowerment across teams.
- Support for community and social contributions.
Pros
- Strong emphasis on work-life balance and employee well-being.
- Opportunity to drive AI initiatives across departments.
- Supportive corporate culture fostering community contributions.
Cons
- Compensation specifics are not disclosed.
- May require navigating cross-departmental dynamics.
- Role may become less hands-on depending on team structure and dynamics.
Who it's for
Intermediate • Hybrid
Good fit
- AI engineers eager to enable organizational capabilities
- Professionals excited about collaborative efforts in AI development
- Individuals with interest in career growth within a supportive company.
Not recommended for
- Candidates seeking strictly technical or focused roles
- Those valuing clear compensation structures upfront
- Individuals uncomfortable in flexible, team-driven environments.
Motivation fit
Key skills
About the job
What’s in it for you as an employee of QFG?
-
Health & wellbeing resources and programs
-
Paid vacation, personal, and sick days for work-life balance
-
Competitive compensation and benefits packages
-
Work-life balance in a hybrid environment with at least 3 days in office
-
Career growth and development opportunities
-
Opportunities to contribute to community causes
-
Work with diverse team members in an inclusive and collaborative environment
We’re looking for our next AI Engineer. Could It Be You?
Questrade is Canada's fastest-growing online brokerage, providing Canadians with innovative and cost-effective investment solutions. We are committed to leveraging cutting-edge technologies, including Artificial Intelligence, to enhance our services and drive operational efficiency.
Need more details? Keep reading…
The AI Enablement Engineer will play a pivotal role in democratizing AI capabilities across Questrade. This individual will be responsible for fostering an AI-literate culture by working with cross functional teams to help develop and deploy AI solutions using Self Service AI technology or work with the AI COE to build out a solution. This AI Enablement Engineer will help support the AI COE by enabling and empowering cross functional teams to develop their own AI solutions via consultation and upskilling in the respective areas. This role requires a blend of technical understanding, training expertise, collaboration and project management skills.
So are YOU our next AI Engineer? You are if you…
AI Engineering & Deployment:
-
Collaborate with agile engineering teams to integrate, deploy, and scale AI models from POC to production.
-
Conduct technical training on Questrade's GenAI core capabilities (e.g., Agentic Framework, Langsmith) to foster internal expertise.
-
Act as a subject matter expert, providing MLOps support for deploying, monitoring, and maintaining AI models in production.
-
Work with cross-functional teams to identify and extrapolate successful AI solutions across the organization.
-
Nurture innovation by identifying and supporting AI Tech Innovators within engineering teams.
Self-Service AI Implementation:
-
Deploy AI self-service drag-and-drop solutions, from POC to final deployment.
-
Manage the end-to-end process, including comprehensive testing and evaluation with both technical and non-technical teams.
-
Collaborate to identify and engage early adopters, fostering widespread adoption of self-service AI.
-
Implement and scale the selected self-service AI tool across all departments, working with tech and non-tech teams.
-
Track and report on use cases and efficiency gains, demonstrating the platform's value to stakeholders.
Collaboration and Communication:
-
Work closely with agile teams and business units to understand AI needs and provide tailored solutions.
-
Foster a collaborative environment through knowledge-sharing sessions, documented best practices, and accessible AI resources.
-
Empower resources across the organization to build their own tools and services, reducing production solution requests.
Qualifications:
-
Bachelor's degree in Computer Science, Information Technology, Business, or a related field.
-
Strong understanding of AI/ML concepts and applications.
-
Experience with GenAI tools and platforms (e.g. N8N, Langsmith, Agentic Framework).
-
Project management skills, with the ability to manage multiple projects simultaneously.
-
Excellent communication and interpersonal skills.
-
Ability to work independently and as part of a team.
-
Experience with vendor management.
-
Experience with POC development and execution.
-
Strong analytical and problem-solving skills.
-
A passion for AI and its potential to transform business.
#LI-Hybrid #LI-DM1
