AI Technical Lead

Systematix; Ottawa; On-site; CAD 83,000 - 138,000; Full time

Job summary

Systematix is seeking an AI Technical Lead for a public sector client on a 1-year contract, starting January 2027, in Ottawa. Active Government of Canada Reliability (Level I) clearance is required.

Lead AI adoption, design AI-enabled solutions with Azure, Dynamics 365, and Power Platform, and guide the Scrum team. You will prototype AI technologies, explore AI agents and generative AI, and drive DevOps improvements with AI while collaborating with cross-functional stakeholders to ensure secure,

Qualifications

• University degree or college diploma in computer science, software engineering, information technology or engineering.
• Professional training or certification in Microsoft Azure, Power Platform, Dynamics 365, AI, cloud architecture, or software development.
• A minimum of 5 years of experience in software development, solution architecture, or technical leadership.
• A minimum of 2 years designing or integrating AI capabilities into applications or processes.
• A minimum of 3 years with Microsoft cloud or related Microsoft technologies.
• Experience with REST APIs, SDKs, cloud services or other integration tech.
• Experience in Agile/Scrum teams and providing technical leadership and knowledge transfer.
• Experience applying automation/AI tools across the SDLC.
• Knowledge of security, privacy, reliability and maintainability considerations.

Responsibilities

• Provide SME support for AI adoption across the software lifecycle.
• Design and develop AI-enabled solutions with Dynamics 365, Power Platform, Azure and API-based architectures.
• Prototype and evaluate emerging AI technologies for Scrum teams.
• Explore generative AI and AI agents within development workflows.
• Apply AI to testing, DevOps and deployment processes.
• Guide the team and transfer AI knowledge to developers, testers and architects.
• Collaborate with stakeholders to ensure AI solutions integrate with existing apps.
• Assess AI solutions for architectural, security, privacy and maintainability aspects.

Skills

AI leadership

Azure cloud

Power Platform

Dynamics 365

Generative AI

REST APIs

Agile/Scrum

DevOps

Security & privacy

GitHub Copilot

Education

University degree in CS/Software Eng/IT

Azure/AI certifications

Tools

REST APIs

SDKs

Cloud services

Azure services

Job description

We are Systematix and we are currently seeking an AI Technical Lead for an opportunity with a public sector client. The ideal candidate must hold an active Government of Canada Reliability (Level I) security clearance. This is a 1-year contract with possibility for extension, expected to start in January 2027.

About the 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.
• Related activities and deliverables, as required.

About the 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 Azure, Power Platform, Dynamics 365, Artificial Intelligence (AI), cloud architecture, or software development.
• A minimum of 5 years of experience in software development, solution architecture, or technical leadership within an enterprise application development environment.
• A minimum of 2 years of experience designing, developing, prototyping, evaluating, or integrating artificial intelligence or generative AI capabilities into applications or software engineering processes.
• A minimum of 3 years of experience with Microsoft cloud or application technologies, including Microsoft Azure, Dynamics 365, Power Platform, or related Microsoft development technologies.
• Experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other application integration technologies.
• 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.
• Experience applying automation, AI-enabled tools, or emerging technologies to improve at least two areas of the software development lifecycle, such as software development, testing, quality engineering, DevOps, deployment, application support, or operational monitoring.
• Technical knowledge and hands‑on capability with Generative AI and large language models, including the development, prototyping, evaluation, or integration of AI-enabled capabilities.
• Ability to develop and integrate cloud‑based applications and solutions using Microsoft Azure and related Azure services.
• Ability to develop and integrate solutions using Microsoft Dynamics 365 and/or Power Platform, including application development or integration with external systems.
• Knowledge of Modern software engineering practices, including source control, automated testing, CI/CD and DevOps.
• Ability to apply AI‑assisted software development tools and techniques, such as GitHub Copilot or equivalent technologies.
• Knowledge of Enterprise solution architecture considerations, including security, privacy, reliability, maintainability and supportability.

Candidates must outline in detail how they meet the above requirements.

Pay Disclosure

The average hourly pay range for this field is as follows:

• Junior: 0–5 years of experience - $40-75/hr
• Intermediate: 6–9 years of experience - $60-100/hr
• Senior: 10+ years of experience - $90-150/hr

Compensation is commensurate with these standards; exceptions may apply based on experience, skills, and market conditions.

AI Disclosure

We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.

At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs.