Montréal, Qc Generative ai Jobs – 148 Openings This Week

Expert Developer – Application Modernization & Generative AI
CGI —Montréal, QC
- $90,000–$175,000 a year
- Full-time
- Azure
- DevOps
- Java
Quick apply
Lead Gen AI
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Full-time
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
Quick apply
Generative AI Software Engineer
Apertera —Montréal, QC
Quick apply
5d
Generative AI (GenAI) | Prompt Engineer
Medfar —Montréal, QC
- Full-time
- Remote
- Bilingual
- English
- Scripting
- Paid time off
Quick apply
9d
Generative AI Engineering Specialist (multiple roles)
Morgan Stanley —Montréal, QC
- Bilingual
- Azure
- Computer Science
AI / ML Engineer
US Mobile —Montréal, QC
- $500 a week
- Full-time
- AWS
- Presentation skills
- Machine learning
- Flexible schedule
Senior Engineer – Generative AI & Agentic Frameworks - AIRLHV
NavitasPartners —Montréal, QC
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick apply
AI Engineer (RAG & LLM Systems)
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Full-time
- Computer Science
- DevOps
- Engineering
- Disability insurance
- Dental care
Quick apply
AI Developer
Fiera Capital —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Architect - AI Security & LLM - 12 months - Montreal (downtown) - Hybrid
CorGTA —Montréal, QC
- $120–$129 an hour
- Hybrid work
- Azure
- Computer Science
- AWS
5d
HR Virtual Agent Product Owner - HR Generative AI team - Director (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Remote
- Bilingual
- English
- Human resources
AI Data Scientist Intern - Fall 2026
BNP Paribas —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- English
Gen AI Developer
Capgemini —Montréal, QC
- $85,000–$100,000 a year
- Azure
- Computer Science
- Java
- Disability insurance
- Dental care
Senior Forward Deployed Developer, Generative AI, Google Cloud
Google —Montréal, QC
- $182,000–$187,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
14d
Quality Assurance Analyst ( AI & Automation)
CGI —Montréal, QC
- $60,000–$115,000 a year
- Full-time
- DevOps
- Java
- Databases
Quick apply
AI Model Validator
BNP Paribas —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Doctoral degree
- Computer Science
2d
Go-to-Market AI Engineer (temp)
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- APIs
- Flexible schedule
7d
Senior Prompt Engineer (AI Clinical Products)
Medfar —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Scripting
- Paid time off
Quick apply
Principal Machine Learning Engineer, General AI, ML & Big Data
C-Serv —Montréal, QC
- Hybrid work
- Computer science
- Azure
- Doctoral degree
- Dental care
- Paid time off
Quick apply
12d
Forward-Deployed AI Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer science
- Computer Science

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generative ai jobs near montréal, qc

Expert Developer – Application Modernization & Generative AI

CGI -
Montréal, QC

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Job details

Full-time
$90,000–$175,000 a year

Qualifications

Azure
Kubernetes
DevOps
C#
Google Cloud Platform
Java
Microservices
OS Kernels
AWS
Docker
REST
UX
Software development
APIs
GraphQL
AI
Model evaluation
TypeScript
Python

Full job description

The Expert Developer – Application Modernization & Generative AI is responsible for designing, developing, and integrating generative AI solutions and agentic architectures into enterprise systems. This role plays a key part in modernizing existing applications by enriching them with intelligent capabilities (LLMs, RAG, AI agents, copilots) to enhance efficiency, automation, and user experience.
The expert serves as a technical reference, contributes to solution engineering, and ensures rigorous execution aligned with IT standards.

Key Responsibilities
1. Application Development & Modernization

Design and develop generative AI-powered features within existing applications (intelligent assistants, content processing, automated resolution, etc.).
Refactor and modernize components to enable seamless integration of LLMs and AI agents.
Implement APIs, microservices, and AI integration modules within existing IT architectures.
Collaborate with architects to translate technical requirements into scalable, industrializable solutions.

2. Generative & Agentic AI Integration

Build solutions leveraging models such as OpenAI, Azure OpenAI, Anthropic, or open-source LLMs.
Design and implement agentic systems orchestrating multiple tools, actions, or reasoning steps.
Develop RAG pipelines (indexing, vectorization, retrieval) and advanced contextualization mechanisms.
Implement guardrails, robust prompting, security policies, and quality control mechanisms.

3. Engineering, Quality & Performance

Produce maintainable, tested, high-performance code aligned with industry standards.
Conduct technical code reviews, propose improvements, and solve complex engineering challenges.
Diagnose, optimize, and monitor the performance of AI solutions in production.
Contribute to DevOps/MLOps/GenAIOps practices: CI/CD, containerization, observability, continuous model evaluation.

4. Collaboration & Technical Leadership

Work closely with architects, analysts, and business teams to understand use cases.
Contribute to technical workshops, demos, and proofs of concept.
Provide advanced technical support to development teams integrating AI.
Document solutions, patterns, and recommended practices.

5. Innovation & Technology Watch

Stay up to date with advancements in generative AI, agentic architectures, RAG, and orchestration frameworks.
Experiment with new models, tools, and techniques to assess enterprise applicability.
Identify optimization and innovation opportunities within the application ecosystem.

Technical Skills
Generative AI & Agents

Strong knowledge of LLMs and frameworks (OpenAI, Azure OpenAI, HuggingFace, Llama, etc.).
Experience with agentic frameworks: LangChain, OpenAI Agents, Semantic Kernel, AutoGen, CrewAI.
Expertise in RAG pipelines, embeddings, vector stores, hybrid search.
Prompt engineering, hallucination mitigation, guardrails.

Development & Application Integration

Excellent knowledge of Python (mandatory) and ideally another language (C#, Java, TypeScript).
Mastery of REST/GraphQL APIs, microservices, cloud integration.
Experience with application modernization (refactor, decoupling, APIfication).
Good understanding of cloud architectures (Azure, AWS, or GCP).

DevOps / MLOps / GenAIOps

Containerization (Docker), orchestration (Kubernetes).
CI/CD pipelines.
Familiarity with MLOps tools (MLflow, Vertex AI, Azure ML) — a plus.
Observability, model evaluation, and monitoring.

Soft Skills

Strong autonomy, initiative, and ability to solve complex problems.
Technological curiosity and willingness to stay ahead of trends.
Ability to explain AI concepts to developers and stakeholders.
Rigor, attention to detail, and quality-driven mindset.
Collaborative spirit and clear communication.

Profile

5–10 years of experience in software development.
Experience with generative AI, LLMs, or intelligent systems (or proven project-based experience).
Practical experience integrating AI into existing applications or services.
Contributions to PoCs, pilots, or AI production projects.

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 / a future opportunity.

#LI-NO1

#INDCGIC

Your future duties and responsibilities

Required qualifications to be successful in this role

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.

Quick apply

Refine Your Search

generative ai jobs in montréal, qc

Expert Developer – Application Modernization & Generative AI

Lead Gen AI

Generative AI Software Engineer

Generative AI (GenAI) | Prompt Engineer

Generative AI Engineering Specialist (multiple roles)

AI / ML Engineer

Senior Engineer – Generative AI & Agentic Frameworks - AIRLHV

AI Engineer (RAG & LLM Systems)

AI Developer

Architect - AI Security & LLM - 12 months - Montreal (downtown) - Hybrid

HR Virtual Agent Product Owner - HR Generative AI team - Director (Hybrid)

AI Data Scientist Intern - Fall 2026

Gen AI Developer

Senior Forward Deployed Developer, Generative AI, Google Cloud

Quality Assurance Analyst ( AI & Automation)

AI Model Validator

Go-to-Market AI Engineer (temp)

Senior Prompt Engineer (AI Clinical Products)

Principal Machine Learning Engineer, General AI, ML & Big Data

Forward-Deployed AI Engineering Specialist (Hybrid)

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