AI Technical Lead

About Wepoint

Role

Responsibilities

• Advise the team as an AI subject-matter expert and identify ways to improve software development, testing, deployment, and application support.
• Design AI-enabled solutions and integrations involving Dynamics 365, Power Platform, Azure, and API-based architectures.
• Prototype and evaluate emerging AI technologies for practical Scrum-team use cases.
• Explore generative AI, agents, and AI-assisted development tools in software workflows.
• Identify AI improvements for test design, test automation, defect analysis, and quality engineering.
• Explore AI-assisted DevOps and deployment automation.
• Create reusable technical patterns and components for adoption across applications.
• Collaborate with developers, testers, architects, product owners, and stakeholders.
• Assess solutions for architecture, security, privacy, reliability, and maintainability before production.
• Provide technical guidance and knowledge transfer; monitor AI developments and recommend relevant technologies.
• Perform other related activities or deliverables as required.

Qualifications

• University degree or college diploma in computer science, software engineering, information technology, or engineering.
• Professional training or certification in one or more relevant areas, including Microsoft technologies, AI, cloud architecture, or software development.
• At least five years of recent experience in software development, solution architecture, or technical leadership for enterprise applications.
• At least two years of recent experience designing, developing, prototyping, evaluating, or integrating AI capabilities into applications or software-engineering processes.
• At least three years of recent experience with Microsoft cloud or application technologies, including Azure, Dynamics 365, Power Platform, or related tools.
• Experience with REST APIs, SDKs, cloud services, or application integration.
• Experience in multidisciplinary Agile/Scrum teams and technical leadership or knowledge transfer.
• Experience applying automation, AI tools, or emerging technology to improve at least two software lifecycle areas.
• Eligibility for Reliability Status clearance, requiring at least five years of verifiable personal history.
• Excellent English communication; English is required.

Salary

• The stated salary range is CAD 100,000–CAD 135,000, depending on experience; no pay cadence is specified.

Work arrangement

• The benefits text offers hybrid, remote, or on-site work flexibility; the specific arrangement for this role is not stated.

Benefits

• Benefits include at least three weeks of vacation from the first year, group insurance, employer RRSP contributions, flexible work arrangements and hours, an annual IT equipment budget, and training and certification opportunities.