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WHS Specialist
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Hamilton, ON
- Full-time
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Seasonal Retail Sales Associate-WHITE OAKS MALL
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- Full-time
…Best Diversity Employers, aiming to innovate the industry and support Canadians in achieving their financial…
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In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or…
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Account Development Representative II - Toronto
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CGI

Agentic AI Architect

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Position Description

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 and Generative 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

Essential Qualifications

Required qualifications to be successful in this role

Architecture design and solution design experience with Agentic AI and Traditional AI solutions - including aspects like cost, scalability, security, performance, and maintainability
Hands-on work experience with implementing Generative AI, LLMs, or GenAI solutions on at least 2-5 different projects or at least 1 project that was deployed in production

Hands on Implementation experience with Azure Foundry, Azure Promptflow, Langgraph, Amazon Bedrock, Google Vertex AI, Crew.ai et al latest agentic tech stacks

Prompt Engineering experience on tools such as Azure Promptflow, Amazon Bedrock, Azure AI Studio would be ideal
Experience building LLM-based solution on Azure, AWS or GCP
Experience fine-tuning LLMs with latest techniques
Experience with multiple models including open source models deployment (LLaMa, Mistral et al)
Experience with multiple Vector Databases
5 or more years "hands-on" working experience delivering diverse Advanced Analytics and AI solutions
Hands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GCP

Additional Non-essential Qualifications

Experience with GenAI agents and agentic frameworks like Crew, Autogen and experience with recent Foundry Control Plane or similar control plane experiences
Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio

“CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $115,000- $165,000” This role is an future 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.

Apply About employer

More about this job

Responsibilities

Lead client or internal AI projects as a technical architect, designing solutions and contributing hands-on to development, deployment, and monitoring. Deliver proofs of value and production-scale AI solutions, collaborating with clients, stakeholders, data scientists, and engineers to optimize user experience, adoption, cost, and performance.

Requirements

Candidates need at least five years of hands-on experience delivering advanced analytics and AI solutions, with experience architecting AI systems and implementing Generative AI or LLM solutions across multiple projects or in production. Required technical experience includes Python, SQL, a major cloud platform, agentic AI frameworks and platforms, LLM fine-tuning, and vector databases.

Skills

Agentic AI Architecture
Generative AI
Large Language Models
Solution Architecture
Python
SQL
Prompt Engineering
Retrieval-Augmented Generation
Machine Learning
MLOps
LLMOps
LLM Fine-Tuning
Cloud Computing
Vector Databases
Data Engineering
Cost Optimization

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Large Language Models
Azure AI Foundry
Azure Prompt Flow
LangGraph
Amazon Bedrock
Google Vertex AI
CrewAI
Autogen
Azure AI Studio
Microsoft 365 Copilot
Copilot Studio
Copilot Plugins
Copilot Connectors
Python
SQL
Azure
AWS
Google Cloud Platform
Retrieval-Augmented Generation
MLOps
LLMOps
LoRA
QLoRA
LLaMA
Mistral
Vector Databases
Prompt Engineering
Advanced Analytics

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