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Agentic Ai Jobs in Quebec (NOW HIRING)

Architect scalable agentic AI solutions using modern techniques such as RAG, multi-agent workflows, tool calling, memory management, and enterprise integrations * Translate business requirements into ...

Design, build, and optimize AI agents and multi-agent systems that support reasoning, planning, retrieval, workflow automation, and task execution. * Develop agentic workflows using LLMs, RAG, APIs ...

The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic ...

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Agentic Ai information

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What are popular job titles related to Agentic Ai jobs in Quebec?

For Agentic Ai jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Agentic Ai jobs in Quebec look for?

The top searched job categories for Agentic Ai jobs in Quebec are:

Infographic showing various Agentic Ai job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Senior AI Developer, Agentic AI

Montreal, QC • Hybrid

Full-time

Retirement

Posted 19 days ago


Job description

Company Description

Welcome to a place where people are at the heart of everything we do.  

Welcome to people with an inspiring vision and who seek stimulating challenges. At CIMA+, you’ll find a place where you’ll have many opportunities to learn and develop while working on engaging projects.  

We are a firm 100% owned by its employees and we value a collaborative and entrepreneurial mindset. You will have the flexibility to manage your work on your own terms and define what work-life balance means to you.  

When you join CIMA+, we welcome you to a place that you can call home

Job Description

Build Enterprise AI Solutions That Make an Impact!

We're looking for a Senior AI Developer, Agentic AI to design, build, and operate production-grade AI solutions that accelerate productivity, innovation, and decision-making across CIMA+. As part of our growing AI team, you'll develop intelligent agents, generative AI applications, and AI-powered automations that solve real business challenges. Working closely with the AI Team Lead, AI Enablement team, business stakeholders, and developers, you'll help define the technical direction of our AI platform while mentoring junior engineers and establishing engineering best practices. If you're passionate about building enterprise-grade AI solutions and shaping the future of agentic AI, we'd love to hear from you. 

Primary Responsibilities 

  • Design, develop, deploy, and support production-ready AI applications, AI agents, and intelligent automations
  • Architect scalable agentic AI solutions using modern techniques such as RAG, multi-agent workflows, tool calling, memory management, and enterprise integrations
  • Translate business requirements into secure, scalable, and maintainable technical solutions
  • Build and integrate AI solutions with enterprise systems, APIs, databases, and cloud services
  • Implement development best practices, including testing, CI/CD, observability, monitoring, and performance optimization
  • Mentor junior developers through technical leadership, code reviews, and knowledge sharing
  • Contribute to AI standards, reusable components, and development practices that support CIMA+'s long-term AI strategy
Qualifications
  • Bachelor's degree in Computer Science, Software Development, Data Science, Engineering, or a related field, or equivalent professional experience
  • 5+ years of experience in software development, AI, or data engineering, including deploying generative or agentic AI solutions to production
  • Strong Python development skills and experience building APIs, microservices, and cloud-native applications
  • Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph and modern agentic AI architectures
  • Strong understanding of RAG, vector databases, embeddings, semantic search, prompt engineering, and AI evaluation techniques
  • Experience with Azure AI Foundry and the Azure ecosystem, including Azure AI Search, Azure Functions, API Management, Blob Storage, and Microsoft Entra ID
  • Strong communication, problem-solving, and collaboration skills with the ability to work effectively across technical and business teams
  • Bilingualism (French and English) is required to support operations across Canada
  • Integrity, team spirit, and a commitment to excellence

If you have any questions, please contact Ibrahima Amadou LY

#LI-Hybrid 

At CIMA+, we value diversity of talent and perspective. You think you can add value, but don't meet all the job requirements? We invite you to apply, because everyone has something unique to offer. The outstanding talents that choose to join us at CIMA+ soon realize that we go all out to encourage them to grow. We look forward to hearing how you can contribute to our success.  

Why choose CIMA+? Because we offer you: 

  • Comprehensive Group Benefits available from day one for all permanent employees working at least 20 hours per week 
  • Employee and Family Assistance Program 
  • Retirement Savings Plan (RRSP) with up to 4% employer contribution 
  • As an employee-owned company, an annual opportunity to purchase shares for all employees 
  • Flexible work schedule in a hybrid work mode  
  • Work/Life balance policy across Canada 
  • 3-5 weeks of vacation, based on years of relevant experience 
  • Tailored training to improve your existing skills

Additional Information

At CIMA+, we recognize the richness and diversity of each individual’s experience. Compensation for this role is therefore based on the candidate’s experience, skills, and qualifications, while maintaining internal equity. The level and associated salary may vary depending on the candidate’s profile.

CIMA+ uses an applicant tracking system that includes an automated match score feature. However, this score is not used to screen, assess, or select applicants. All hiring decisions are made through human review.

Ethics and integrity are fundamental values at CIMA+. That is why we are committed to ensuring equal access to resources and opportunities for candidates, regardless of their identity (race, ethnicity, colour, religion, gender, age, disability, sexual orientation, gender identity or expression, socio-economic status or background, etc.).​

In keeping with the principles of employment equity, we encourage all applications, including, but not limited to, those from women, Indigenous people, people with disabilities and visible minorities. We also encourage candidates to complete the self-identification form when applying for employment.​

Accommodations are available on request. Your Business Partner will process your request.

Find out about The CIMA+ advantage - CIMA+.