Technical Lead

Russell Tobin; Canada; Remote; CAD 124,000 - 152,000; Full time

Job summary

Russell Tobin & Associates is seeking an AI Technical Lead for a remote Canada-based role. The position leads AI-enabled solution design and integration across Microsoft Azure, Dynamics 365, and Power Platform, guiding the Scrum team in adopting AI technologies.

Strong leadership and cloud integration skills are essential. Candidates should have 5+ years in software development or technical leadership, with certifications in Azure, Dynamics 365, Power Platform, or related AI/cloud areas.

Qualifications

• University degree or college diploma in computer science, software engineering, information technology or engineering.
• Professional training or certification in Azure, Power Platform, Dynamics 365, AI, cloud architecture, or software development.
• Security clearance holder would be a plus.

Responsibilities

• Provide SME guidance to promote AI adoption in software development, testing, deployment and support.
• Design and develop AI-enabled solutions, including Dynamics 365, Power Platform, Azure integrations.
• Prototype and evaluate emerging AI technologies for practical use within the Scrum team.
• Explore generative AI, AI agents and AI-assisted development tools in software engineering workflows.
• Identify opportunities to apply AI to testing, automation and quality engineering.

Skills

AI expertise

Technical leadership

Agile/Scrum

Cross-team collaboration

Education

CS/Software Engineering degree

Azure/Power Platform/Dynamics 365 certifications

Security clearance (nice to have)

Tools

Microsoft Azure

Dynamics 365

Power Platform

REST APIs

SDKs

CI/CD

Job description

Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.

Job Title: AI Technical Lead

Location: Remote (Canada)

Client: Public Sector

Pay Rate: CAD 90- 110/Hour + HST

Key Responsibilities:

• Provide subject matter expertise to support the team’s adoption of Artificial Intelligence (AI), identifying practical ways to enhance software development, testing, deployment and ongoing application support
• Design and develop AI-enabled solutions and integrations, including capabilities that complement applications built using Microsoft Dynamics 365, Power Platform, Azure and API-based architectures
• Prototype and evaluate emerging AI technologies, and apply promising developments into practical use cases and solutions for the Scrum team
• Explore the use of generative AI, AI agents and AI-assisted development tools within software engineering workflows
• Identify opportunities to apply AI to software testing and quality engineering, including test design, test automation, defect analysis and other engineering activities
• Explore opportunities to improve DevOps and software deployment processes through AI-assisted automation
• Establish reusable technical approaches, patterns and components to enable successful experiments to be adopted consistently across applications
• Collaborate with developers, testers, architects, product owners and other stakeholders to ensure AI solutions integrate effectively with existing applications and engineering practices
• Support the assessment of AI solutions from architectural, security, privacy, reliability and maintainability perspectives before they are introduced into production
• Provide technical guidance and knowledge transfer to the Scrum team to build and strengthen its AI capabilities
• Monitor developments in AI and recommend relevant technologies that could enhance applications and software delivery processes

Education and Certifications

• 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 Azure, Power Platform, Dynamics 365, Artificial Intelligence (AI), cloud architecture, or software development
• Any security clearance holder would be a plus.
• A minimum of five (5) years of recent demonstrated work experience in software development, solution architecture, or technical leadership within an enterprise application development environment
• A minimum of two (2) years of recent demonstrated work experience designing, developing, prototyping, evaluating, or integrating artificial intelligence or generative AI capabilities into applications or software engineering processes
• A minimum of three (3) years of recent demonstrated work experience with Microsoft cloud or application technologies, including Microsoft Azure, Dynamics 365, Power Platform, or related Microsoft development technologies
• Demonstrated experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other application integration technologies
• Demonstrated experience working within a multidisciplinary Agile/Scrum software development team and providing technical leadership, subject matter expertise, or knowledge transfer to developers, testers, architects, product owners, or other technical stakeholders
• Demonstrated experience applying automation, AI-enabled tools, or emerging technologies to improve at least two (2) areas of the software development lifecycle, such as software development, testing, quality engineering, DevOps, deployment, application support, or operational monitoring

Technical Skills

• Demonstrated technical knowledge and hands-on capability with Generative AI and large language models, including the development, prototyping, evaluation, or integration of AI-enabled capabilities
• Demonstrated ability to develop and integrate cloud-based applications and solutions using Microsoft Azure and related Azure services
• Demonstrated ability to develop and integrate solutions using Microsoft Dynamics 365 and/or Power Platform, including application development or integration with external systems
• Demonstrated knowledge of Modern software engineering practices, including source control, automated testing, CI/CD and DevOps
• Demonstrated ability to apply AI-assisted software development tools and techniques, such as GitHub Copilot or equivalent technologies
• Demonstrated knowledge of Enterprise solution architecture considerations, including security, privacy, reliability, maintainability and supportability