laval qc ai prompt engineer Jobs – 43 Openings This Week

AI Engineer
LGS, une Société IBM / an IBM Company —Montréal, QC
- Full-time
- Azure
- DevOps
- Java
Quick apply
Machine Learning Developer - Développeur en apprentissage automatique
Grizzlytrek Group —Montréal, QC
- Overtime
- Hybrid work
- Azure
- Salesforce
- English
- Vision care
- Life insurance
Go-to-Market Ingénieure IA
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- APIs
- Flexible schedule
2d
Tech Analyst, Data and AI
Air Canada —Dorval, QC
- Full-time
- Bilingual
- Azure
- Computer Science
7d
AI Solution Architect — Intermediate
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- English
Quick apply
Senior AI Engineer
Robots and Pencils —Montréal, QC
- Remote
- Databases
- AWS
- APIs
Quick apply
Data Developer
DRW —Montréal, QC
- Computer Science
- Engineering
- Master's degree
Senior AI Solution Architect
CGI —Montréal, QC
- $90,000–$175,000 a year
- Full-time
- Bilingual
- Azure
- English
Quick apply
Développeur expert IA
CGI —Montréal, QC
- $60,000–$120,000 a year
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
Quick apply
11d
Architecte de solutions IA – Intermédiaire
CGI —Montréal, QC
- $80,000–$155,000 a year
- Full-time
- Bilingual
- Azure
- English
Quick apply
Engineering Manager
Saris AI —Montréal, QC
- Full-time
- Hybrid work
Senior Data Engineer - Hybrid
Pelmorex —Montréal, QC
- Full-time
- Hybrid work
- Databases
- Machine learning
- APIs
Ingénieur(e) Forward Deployed, Google Cloud, expert(e) en IA
Valtech Group —Montréal, QC
- Full-time
- Doctoral degree
- Computer Science
- English
- Profit sharing
- Employee assistance program
6d
Data Developer
DRW Montreal —Montréal, QC
- Computer Science
- Engineering
- Master's degree
Resiliency Architect
Intact —Montréal, QC
- $149,600–$182,800 a year
- Full-time
- Hybrid work
- Bilingual
- Azure
- No experience needed
- Employee stock purchase plan
Responsable des technologies financières
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- ERP systems
- English
- Dental care
- Employee assistance program
9d
Finance Technology Lead
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- ERP systems
- English
- Dental care
- Employee assistance program
9d
Gestionnaire de Projets Technique (IA & sciences de la vie)/Technical Project Manager (IA et Sciences de la Vie)
GenAIz —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- Computer Science
Quick apply
Gestionnaire de produit - données / Data Product Manager
PayFacto —Montréal, QC
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Dental care
Quick apply
Shipping Clerk
Recochem inc. —Montréal, QC
- Full-time
- Bilingual
- English
- Forklift
- Designated paid holidays
- Dental care
Quick apply

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AI Engineer

LGS, une Société IBM / an IBM Company -
Montréal, QC

Quick apply

Job details

Full-time

Qualifications

Azure
Law
Kubernetes
DevOps
System architecture
Google Cloud Platform
Java
Microservices
Pandas
AWS
Docker
Distributed systems
REST
APIs
AI
Python
Software architecture

Full job description

At LGS, we strive to provide a workplace that values your professional growth. Our company culture fosters diversity and inclusivity, and we welcome talents from both local and international backgrounds.

As a team member, you will play a crucial role in driving major projects that propel our clients’ businesses forward and improve people’s lives. You will be at the heart of collaborative large-scale digital transformation projects in both the public and private sectors.

The IBM Client Innovation Centre Quebec (CIC), at LGS, employs professionals who collaborate on projects within technology practices, offering local and remote services. Our employees, regardless of their level of experience, are paired with a coach to support their professional growth. As part of IBM’s global network, we have offices in Montreal and Quebec City.

The benefits of joining our team:

Learn every day: access IBM's intellectual capital and trainings on a diverse range of cutting-edge technologies.
For your well-being: a group insurance bundle including telemedicine, a retirement savings plan with employer’s contribution, access to IBM shares at discounted rates, and a wellness package!
To enjoy quality time: annual vacations, additional company days off and special life events leaves!
To have fun with your colleagues: an active community and a social committee with regular activities to keep us all connected!

Join our teamJoin our team as an AI Engineer.

Your Responsibilities:

Implement automated MLOps pipelines (CI/CD, data, training).
Implement ETL pipelines for data ingestion.
Containerize and deploy models into production.
Continuously monitor models (drift detection, alerting).
Manage model and data versioning to ensure reproducibility.
Apply governance principles (bias, privacy, transparency).
Collaborate with data scientists to transform prototypes into stable services.
Write optimized prompts and conduct comparative evaluations of models.

You Stand Out With:

Languages & Libraries: Proficiency in Python + AI libraries (Pandas, Huggingface, OpenAI, etc.) and experience with Java and JavaScript.
AI Agentic Frameworks: Experience with techniques such as multi-agent systems, ReAct, function Autogen, LangGraph, CrewAI, Chainlit, Streamlit, n8n, Google ADK.
Knowledge of LLM and LFM Models: Familiarity with proprietary models (OpenAI, Claude, Gemini, etc.) and open-source models on HuggingFace.
Data Science: Strong general understanding of data science techniques and their pipelines.
Software Architecture: Understanding of distributed systems architecture, microservices, APIs (e.g., REST).
Cloud Computing: Experience with AWS Bedrock, Azure AI Foundry, GCP Vertex AI.
DevOps / MLOps:

o Deployment via CI/CD, containers (Docker, Kubernetes), cloud, and automated pipelines.

o Automation of ML workflows (preprocessing, training, evaluation, deployment).

o Versioning of models/data/experiments (MLflow, DVC, etc.).

o Monitoring of models in production (drift, latency, performance, business metrics).

Governance & Compliance: Knowledge of ethics, bias, GDPR, explainability, privacy, AI risks.
Prompt Engineering & Model Benchmarking: Ability to formulate effective prompts, compare models, test, and select for specific tasks.
Deployment & Integration: Packaging models, production deployment (API, microservices), backend/legacy integration.
Communication: Collaborate with data, product, and infrastructure teams; clearly explain AI challenges.

#CICJOBS #IBMJOBS #LI-IO1

Be yourself at LGS

LGS is committed to considering all qualified applicants without regard to ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status or other characteristics.

If you are not a Canadian permanent resident or citizen, please consult with your talent acquisition consultant as this role may require the use of technologies that are regulated by export sanctions.

Quick apply

Refine Your Search

ai prompt engineer jobs in laval qc

AI Engineer

Machine Learning Developer - Développeur en apprentissage automatique

Go-to-Market Ingénieure IA

Tech Analyst, Data and AI

AI Solution Architect — Intermediate

Senior AI Engineer

Data Developer

Senior AI Solution Architect

Développeur expert IA

Architecte de solutions IA – Intermédiaire

Engineering Manager

Senior Data Engineer - Hybrid

Ingénieur(e) Forward Deployed, Google Cloud, expert(e) en IA

Data Developer

Resiliency Architect

Responsable des technologies financières

Finance Technology Lead

Gestionnaire de Projets Technique (IA & sciences de la vie)/Technical Project Manager (IA et Sciences de la Vie)

Gestionnaire de produit - données / Data Product Manager

Shipping Clerk

I want to receive the latest job alerts for ai prompt engineer in laval qc

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