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Added 14 mins ago
Photonics Architect
Lightmatter
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Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 28 mins ago
Cloud Infrastructure & DevOps Architect
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Calgary, AB
Full-time
Senior years of experience in cloud infrastructure, DevOps and enterprise solution architecture, primarily across Microsoft Azure and AWS.
Added 28 mins ago
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Calgary, AB
Full-time
Minimum Senior years of relevant experience in solution architecture, application architecture, performance engineering, or enterprise technology delivery.
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Technical Consultant, ZIP
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Contract
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Architecte de solutions IA – Senior
CGI
Montreal, QC
Full-time
Our Artificial Intelligence practice is expanding rapidly, and we are seeking a Senior AI Solution Architect to play a key role in shaping, designing, and delivering advanced AI and…
Added 1 hour ago
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Principal Banking Cloud Architect | Client Partner | Technology Consulting
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Architecte de solutions PLM/PLM Solution Architect
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CGI

Architecte de solutions IA – Senior

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 14, 2026
Experience: 7+ years of experience in technology roles, including 3+ years in AI solution design or architecture.
Posting language: English · French
Posted: Sep 14, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

This role combines architecture leadership, strong technical judgment, and client engagement, and is suited for a professional capable of guiding complex AI initiatives while collaborating closely with business and technical stakeholders.

Your future duties and responsibilities

Design end-to-end AI and Generative AI solution architectures aligned with client business objectives.
Lead architectural decisions related to AI platforms, cloud services, and integration patterns.
Guide the implementation of Generative AI use cases (LLMs, RAG architectures, AI assistants, automation).
Collaborate with data scientists, engineers, and platform teams to ensure scalable and secure solution delivery.
Define and oversee MLOps practices (model lifecycle, monitoring, deployment, governance).
Lead technical feasibility studies and Proofs of Concept (POCs).
Ensure AI solutions align with security, privacy, and responsible AI principles.
Act as a technical advisor in client discussions, helping translate business challenges into AI-enabled solutions.
Mentor intermediate team members and contribute to the evolution of the AI practice.

Required Qualifications To Be Successful In This Role

7+ years of experience in technology roles, including 3+ years in AI solution design or architecture.
Strong expertise in AI and machine learning, with hands-on experience in Generative AI architectures.
Solid understanding of LLM ecosystems, prompt engineering, embeddings, vector databases, and API-based AI services.
Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP).
Good knowledge of MLOps concepts and tools (MLflow, Kubeflow, CI/CD).
Strong communication skills with both technical and executive stakeholders.
Bilingual (French and English).

Nice to Have

Cloud or AI certifications.
Experience in consulting environments.
Exposure to enterprise data platforms and distributed systems.
Contribution to AI standards, frameworks, or Centers of Excellence.

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.

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.

Architecte de solutions IA – Senior

Required Qualifications To Be Successful In This Role

Read the full bilingual original

Our Artificial Intelligence practice is expanding rapidly, and we are seeking a Senior AI Solution Architect to play a key role in shaping, designing, and delivering advanced AI and Generative AI solutions for our clients.

This role combines architecture leadership, strong technical judgment, and client engagement, and is suited for a professional capable of guiding complex AI initiatives while collaborating closely with business and technical stakeholders.

Your future duties and responsibilities

Design end-to-end AI and Generative AI solution architectures aligned with client business objectives.
Lead architectural decisions related to AI platforms, cloud services, and integration patterns.
Guide the implementation of Generative AI use cases (LLMs, RAG architectures, AI assistants, automation).
Collaborate with data scientists, engineers, and platform teams to ensure scalable and secure solution delivery.
Define and oversee MLOps practices (model lifecycle, monitoring, deployment, governance).
Lead technical feasibility studies and Proofs of Concept (POCs).
Ensure AI solutions align with security, privacy, and responsible AI principles.
Act as a technical advisor in client discussions, helping translate business challenges into AI-enabled solutions.
Mentor intermediate team members and contribute to the evolution of the AI practice.

Required Qualifications To Be Successful In This Role

7+ years of experience in technology roles, including 3+ years in AI solution design or architecture.
Strong expertise in AI and machine learning, with hands-on experience in Generative AI architectures.
Solid understanding of LLM ecosystems, prompt engineering, embeddings, vector databases, and API-based AI services.
Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP).
Good knowledge of MLOps concepts and tools (MLflow, Kubeflow, CI/CD).
Strong communication skills with both technical and executive stakeholders.
Bilingual (French and English).

Nice to Have

Cloud or AI certifications.
Experience in consulting environments.
Exposure to enterprise data platforms and distributed systems.
Contribution to AI standards, frameworks, or Centers of Excellence.

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 $90.000–$175,000 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.

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.

Architecte de solutions IA – Senior

Job Description

Dans le cadre de l’expansion de notre pratique en intelligence artificielle, nous recherchons un(e) Architecte de solutions IA – Senior pour jouer un rôle clé dans la conception, l’orientation et la livraison de solutions avancées en IA et en IA générative pour nos clients.

Ce poste combine leadership architectural, jugement technique avancé et interaction client, et s’adresse à un professionnel capable de guider des initiatives IA complexes tout en collaborant étroitement avec les équipes techniques et d’affaires

Your future duties and responsibilities

Concevoir des architectures de solutions complètes en IA et en IA générative, alignées sur les objectifs d’affaires des clients.
Diriger les décisions architecturales liées aux plateformes IA, aux services infonuagiques et aux modèles d’intégration.
Encadrer la mise en œuvre de cas d’usage en IA générative (LLM, architectures RAG, assistants intelligents, automatisation).
Collaborer avec les data scientists, ingénieurs et équipes plateformes afin d’assurer la livraison de solutions évolutives, sécurisées et performantes.
Définir et superviser les pratiques MLOps (cycle de vie des modèles, déploiement, surveillance, gouvernance).
Piloter des études de faisabilité technique et des preuves de concept (POC).
Veiller à l’alignement des solutions IA avec les exigences de sécurité, de confidentialité et les principes d’IA responsable.
Agir comme conseiller technique auprès des clients, en traduisant les enjeux d’affaires en solutions IA concrètes.
Mentorer les architectes et spécialistes intermédiaires et contribuer à l’évolution de la pratique IA.

Required Qualifications To Be Successful In This Role

7 ans et plus d’expérience dans des rôles technologiques, dont au moins 3 ans en conception ou en architecture de solutions IA.
Expertise approfondie en intelligence artificielle et machine learning, avec une expérience concrète en architectures d’IA générative.
Solide compréhension de l’écosystème des LLM, du prompt engineering, des embeddings, des bases de données vectorielles et des services IA par API.
Expérience éprouvée dans le déploiement de solutions IA sur des plateformes infonuagiques (AWS, Azure, GCP).
Bonne maîtrise des concepts et outils MLOps (MLflow, Kubeflow, CI/CD).
Excellentes aptitudes de communication avec des interlocuteurs techniques et exécutifs.
Bilinguisme français / anglais

L'utilisation du terme "architecte" dans cette offre d'emploi réfère au sens technique associé aux technologies de l'information (TI) et ne sous-entend pas que la personne exerce la profession d'architecte ou possède le permis requis conformément aux législations provinciales régissant l'exercice de l'architecture applicables. Nous recherchons des candidats ayant une expertise dans le domaine de l'ingénierie informatique et la détention d'un permis émis par un ordre des architectes n’est pas un prérequis pour occuper ce poste. Au Canada, l’architecture est une profession réglementée dont l’utilisation des titres et désignations est restreinte.

CGI offre une estimation raisonnable de la fourchette salariale pour ce poste. Le calcul de cette fourchette dépend de divers facteurs, notamment le niveau de compétence, le marché géographique, l’expérience, la formation ainsi que les licences et certifications professionnelles. Les décisions en matière de rémunération dépendent des particularités de chaque cas. Une estimation raisonnable de cette fourchette salariale se situe entre 90.000$ et 175,000 $. Ce poste est vacant

Ensemble, en tant que propriétaires, mettons notre savoir-faire à l’œuvre.

La vie chez CGI est ancrée dans l’actionnariat, le travail d’équipe, le respect et un sentiment d’appartenance. Chez nous, vous pourrez exploiter votre plein potentiel parce que…

Nous vous invitons à devenir propriétaire dès le jour 1 alors que nous travaillons ensemble à faire de notre rêve une réalité. C’est pourquoi nous nous désignons comme associés de CGI, plutôt que comme employés. Nous tirons profit des retombées de notre succès collectif et contribuons activement à l’orientation et à la stratégie de notre entreprise.

Votre travail crée de la valeur. Vous élaborerez des solutions novatrices et développerez des relations durables avec vos collègues et clients, tout en ayant accès à des capacités mondiales pour concrétiser vos idées, saisir de nouvelles opportunités, et bénéficier d’une expertise sectorielle et technologique de pointe.

Vous ferez évoluer votre carrière en vous joignant à une entreprise bâtie pour croître et durer. Vous serez soutenus par des leaders qui ont votre santé et bien-être à cœur et qui vous permettront de saisir des occasions afin de parfaire vos compétences et élargir les horizons.

Chez CGI, nous valorisons la richesse que la diversité apporte et nous nous engageons à favoriser un environnement de travail où chacun s’épanouit. Nous collaborons avec nos clients pour bâtir des communautés plus inclusives et permettre à tous les associés de CGI de réussir. En tant qu’employeur prônant l’égalité des chances, il est important pour nous que vous puissiez donner le meilleur de vous-même durant le processus de recrutement. Si vous avez besoin d’un accommodement particulier, veuillez en informer votre recruteur.

Pour en savoir plus sur l'accessibilité chez CGI, contactez-nous par courriel. Veuillez noter que ce courriel est strictement réservé aux demandes d'accessibilité et ne peut être utilisé pour vérifier l'état d’une candidature.

Joignez-vous à nous, l’une des plus importantes entreprises de conseil en technologie de l’information (TI) et en management au monde.

Apply About employer

More about this job

Responsibilities

Design and lead end-to-end AI and Generative AI architectures, including cloud platforms, integrations, and use cases such as LLMs, RAG, assistants, and automation. Oversee MLOps, feasibility studies and proofs of concept, security and responsible AI alignment, client technical guidance, and mentoring.

Requirements

Requires at least seven years of technology experience, including three or more years in AI solution design or architecture, with hands-on expertise in AI, machine learning, and Generative AI architectures. Candidates need experience with LLM ecosystems, cloud AI deployments, and MLOps tools, strong communication skills, and fluency in French and English.

Skills

AI Solution Architecture
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Prompt Engineering
Embeddings
Vector Databases
Retrieval-Augmented Generation
Cloud Platforms
MLOps
MLflow
Kubeflow
CI/CD
Responsible AI
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
AI Solution Architecture
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Embeddings
Vector Databases
AI Assistants
Automation
AWS
Azure
Google Cloud Platform
MLOps
MLflow
Kubeflow
CI/CD
Model Lifecycle Management
Model Monitoring
Model Deployment
AI Governance
Responsible AI
Security
Privacy
Proofs of Concept
Technical Feasibility Studies
Enterprise Data Platforms
Distributed Systems
French-English Bilingualism

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