The Emerging Technologies team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and AI advisor and go-to implementation partner for our global clients' Data and Advanced Analytics needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI partner and develop new and exciting opportunities in latest technologies.

The role requires strong, hands-on experience in developing Generative AI solutions, including agentic AI projects. It combines practical technical work with architectural responsibilities, rather than focusing solely on high‑level design. The position involves delivering rapid proofs of value for clients under tight timelines, followed by leading full-scale production implementations that ensure an optimal user experience and successful adoption.

Your future duties and responsibilities

As an AI Architect on our team, your responsibilities will include:

- Leading a client or internal CGI project as the Technical Architect and Lead - architecting solutions and also contributing in part hands-on to solution development
- Building Large Language Models-based and Agentic AI based solutions for CGI clients by researching the best in class techniques and being a self-starter with newer technologies
- Having strong architectural acumen designing solution architectures for AI and Agentic AI solutions
- Mitigating risks and optimizing costs associated with choosing a GenAI architecture solution and advise clients on best practices in Agentic AI
- Helping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experience
- Being "hands-on" to build, tune, deploy and monitor (MLOps and LLMOps) robust Machine Learning solutions built on RAG and latest GenAI techniques
- Helping fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRA
- Strategically and intensely collaborating with innovation team and the client stakeholders and account teams to ideate and build key GenAI solutions
- Collaborating with other Data Scientists and Data Engineers in a client engagement setting and leading the delivery of work
- Implementing proof of concepts to show value and then package and scale to full ML solutions at scale on both on-prem and cloud environments

Required qualifications to be successful in this role





- 10+ years of enterprise technology delivery, architecture, software leadership, or transformation experience.
- Proven experience establishing AI delivery operating models, governance frameworks, and AI-native SDLC practices (e.g., BMAD or equivalent).
- Hands-on expertise designing and delivering production-scale GenAI solutions, including LLMs, RAG, agentic systems, and orchestration frameworks.
- Strong understanding of AI architecture, enterprise integration, APIs, microservices, distributed systems, and public cloud platforms (Azure preferred).
- Deep knowledge of Responsible AI, model risk management, AI security, compliance, and human-in-the-loop controls.
- Experience implementing AI evaluation, observability, quality gates, and production release practices.
- Ability to review, prototype, and troubleshoot AI applications in Python or Java.
- Experience developing delivery standards, policies, templates, and technical guidance for engineering teams.
- Strong leadership, stakeholder management, and experience leading Agile delivery teams.
- 5+ years of solution/software architecture experience, including hands-on AI solution design in enterprise environments.

Preferred Qualifications

- Experience leading an AI CoE, governance function, or enterprise AI transformation initiative.
- Expertise in advanced RAG, multi-agent systems, knowledge graphs, MCP, and agent-to-agent communication.
- Experience integrating AI into enterprise software engineering and regulated industry environments (e.g., telecom).
- Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, or equivalent AWS/GCP AI services.
- Familiarity with AI evaluation/observability tools (RAGAS, DeepEval, Promptfoo, LangSmith, Braintrust) and governance frameworks (NIST AI RMF, ISO 42001, AI red teaming).
- Knowledge of AI FinOps, security, privacy, compliance, and optimization practices.
- Relevant AI, cloud, architecture, or Agile certifications.





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 $135,000–$185,000. This role is an existing vacancy.

#LI-SH1

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 creative 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.

📌 AI Architect (Toronto)
🏢 CGI
📍 Toronto