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Applied Ai Engineer Jobs in Quebec (NOW HIRING)

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

The position We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated ...

Norbert Health

Applied AI Engineer

Montreal, QC

The position We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated ...

Simpro Software

Applied AI Engineer

Montreal, QC · On-site

Contexte du poste The Applied AI Software Engineer will be responsible for the rapid technical design and delivery of AI agents and frameworks built on top of SIMPRO FSMs. Working closely with the AI ...

PSP Investments

Senior Applied AI Engineer

Montreal, QC · On-site +1

As a Senior Applied AI Engineer , you'll: * Design and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and ...

Ironbelly Studios

AI Platform Engineer

Montreal, QC · Hybrid

This is an Applied AI Engineering Position To ensure we're connecting with the right candidates, let's be clear about the focus of this role: * ✅ We ARE looking for: A seasoned backend/platform ...

Bentley Systems

Senior Applied AI Scientist

Quebec, QC · On-site

Senior Applied AI Scientist Location: Hybrid, Quebec, Canada As a Senior Applied AI Scientist, you ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · Remote

Job Requisition ID # 26WD99788 L'affichage de poste en francais suivra / The French job posting follows 26WD99788 Sr. Applied AI/ML Developer Position overview As a Senior ML Developer on the team ...

Valtech

Senior Data Scientist

Montreal, QC

This role is responsible for leading complex analytical, predictive, and applied AI workstreams ... Collaborate with AI Scientists, AI Engineers, Analytics Engineers, Data Engineers, and Architects ...

Autodesk

Software Architect, AI/ML

Montreal, QC

The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships Cloud-Native ... Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high-impact ...

Broccolini

Senior AI Skill builder

Kirkland, QC · On-site

Experience avec les LLMs, le prompt engineering ou les outils AI workflows * A l'aise dans un ... Continuously improve outputs through iteration and prompt refinement What We're Looking For Applied ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Quebec

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

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

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

Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Quebec as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Senior Applied AI Engineer

Giesecke+Devrient

Montreal, QC

Full-time

Re-posted 7 days ago

Job description

Compensation: $130,000 - 150,000 plus up to $20,000 bonus, capped at 150%

Job Summary

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly technical and execution-focused Senior Applied AI Engineer to join G+D's new AI Hub.
The ideal candidate will combine deep expertise in Generative AI systems engineering with strong Python software engineering capabilities and the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.
This role is focused exclusively on Generative AI engineering and agentic systems, including single-agent and multi-agent architectures, RAG, Graph RAG, advanced evaluation frameworks, guardrails, and production observability.

 Primary Responsibilities
  • Own GenAI initiatives end-to-end from problem framing through production deployment and continuous monitoring
  • Design, develop, and deploy single-agent and multi-agent systems
  • Build production-grade RAG and Graph RAG architectures
  • Develop enterprise-grade AI assistants, copilots, and workflow agents
  • Design orchestration and handoff patterns across multi-agent workflows
  • Implement hallucination mitigation and response validation strategies
  • Build evaluation frameworks, guardrails, tracing, and production monitoring
  • Other duties as assigned
 Qualifications, Experience and Educational Requirements

Work Experience: 

  • Three (3)+ years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI since 2022 onward, with proven experience delivering production-grade GenAI solutions
  • Five (5)+ years of prior experience in Python software engineering, backend engineering, platform engineering, or related software development roles
  • Proven track record of building and deploying production systems, APIs, workflow orchestration services, or distributed applications prior to working in GenAI

Skills and Competencies:

  • Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent orchestration, multi-agent systems, observability, hallucination mitigation, and MCP
  • Strong Python software engineering skills
  • Hands-on experience with Python, FastAPI / Flask, async workflows, APIs, testing frameworks, and CI/CD
  • Hands-on experience with LangChain, LangGraph, CrewAI, OpenAI APIs, vector and graph databases
  • Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset

Education:

  • Master's degree or Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred 
 Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.

By applying to this position, you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit.

Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years 

$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.com 

 $$  $$ $$ $$  $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27433&career_ns=job_application

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