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AI Governance & Delivery Lead

Toronto Full-time AI Solutions Lead
Salary
$115,000-$165,000/yr
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Original posting on LinkedIn

Position Description

The AI Governance & Delivery Lead defines and operationalizes the AI delivery model for the program, ensuring that AI is applied consistently, safely, and effectively across the software development lifecycle.

This role establishes BMAD standards, governance checkpoints, metrics, and Responsible AI guardrails while enabling delivery teams to adopt AI in a practical, measurable way.

This role is part of an AI first software engineering organization where Artificial Intelligence is integrated throughout the software development lifecycle. Candidates must demonstrate practical experience leveraging AI to improve productivity, quality, and delivery outcomes using modern AI assisted development practices.

Your future duties and responsibilities

Define and govern the AI enabled Software Development Lifecycle (AI SDLC) across the program.
Establish the Business Model Assisted Development (BMAD) framework, standards, and delivery guardrails.
Develop reusable templates, prompt libraries, patterns, and governance checkpoints for AI assisted delivery.
Ensure Responsible AI practices, human in the loop controls, and auditability are embedded in delivery.
Monitor AI related delivery risks, including privacy, IP, security, bias, and model misuse.
Measure AI adoption, productivity uplift, quality outcomes, and continuous improvement opportunities.
Coach delivery teams on practical AI engineering, prompt engineering, and AI enabled ways of working.
Partner with architecture, engineering, and quality teams to embed AI safely into delivery execution.

Required Qualifications To Be Successful In This Role

10+ years of experience in enterprise delivery, technology transformation, or software leadership.
Proven experience establishing AI delivery operating models or AI governance practices.
Hands on experience with AI SDLC and practical application of AI in software delivery.
Experience with the BMAD framework or a comparable AI native delivery methodology.
Strong knowledge of Responsible AI, model risk management, and human in the loop controls.
Experience developing standards, policies, templates, and delivery guidance for technical teams.
Experience leading or influencing multiple Agile delivery teams.
Experience with public cloud environments, with Microsoft Azure preferred.
Strong leadership, communication, and stakeholder management skills.
Experience in regulated or mission critical enterprise environments is an asset.

Preferred Qualifications

Experience leading an AI Centre of Excellence or similar AI governance function.
Experience with Generative AI, prompt engineering, and AI delivery tooling.
Experience within telecom or other regulated industries.
Experience with security, compliance, and privacy oriented delivery models.
AI, cloud, agile, or architecture certifications are an asset.
Experience evaluating new AI tools and delivery automation capabilities.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $115,000–$165,000. This role is an existing vacancy.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
FAQ

Frequently asked questions

Who offers this AI Solutions Lead role in Toronto?

The role is posted by CGI from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

How much does this AI Solutions Lead role pay?

The salary stated in the posting is $115,000-$165,000/yr. It is indicative and worth confirming with CGI before applying.

What type of role is it?

This is a ai solutions lead position on a full-time basis in Toronto. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in Toronto?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new Toronto roles by email.

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