Jobs in Quebec (67,663 jobs)

Jobs across Quebec, Canada. Choose a city or town to search nearby.

67,663 listings · 8,908 employers Counted Nov 12, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (3,698 listings), Walmart (2,119 listings), Walmart Canada (1,863 listings).

Common roles: Retail sales associate, Project manager, Store manager.

8,363 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	22.81	6,435
CAD / year	77,500.00	1,856
CAD / month	3,931.00	10

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 22% hybrid, 77% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Quebec

Group jobs by employerEmail me new jobs Save this search

Added 10 mins ago
W
(CAN) Leader d’équipe, aire des caisses
Walmart
Mascouche, QC
- Full-time
Added 10 mins ago
R
Superviseur lignes moteurs MRO / MRO Engine Line Supervisor
RTX
Longueuil, QC
- Full-time
Added 10 mins ago
AC
Senior Manager, Portfolio Management
Air Canada
Dorval, QC
- Full-time
Added 10 mins ago
C
Représentant(e) au service à la clientèle bilingue, Centre du service des risques des particuliers (contrat de 12 mois)
Chubb
Montreal, QC
- Full-time
Added 10 mins ago
R
Ingénieur de projets / Project Engineer
RTX
Longueuil, QC
- Full-time
Added 10 mins ago
Payroll Coordinator
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
Added 10 mins ago
GT
Cashier (Full-Time)
Giant Tiger
Coaticook, QC
- Full-time
A typical full-time schedule will consist of day shifts, two evenings per week, and alternating weekends with a schedule of 35-40 hours weekly
Added 10 mins ago
GT
Softgoods Associate (Part-Time)
Giant Tiger
Coaticook, QC
- Part-time
A typical full-time schedule will consist of day shifts, two evenings per week, and alternating weekends with a schedule of 35-40 hours weekly
Added 25 mins ago
WA
Senior Manager, Athlete Council and Representation
World Anti-Doping Agency
Montreal, QC
- Full-time
Added 25 mins ago
NL
Optician
New Look Vision Group
Longueuil, QC
- Full-time
Added 25 mins ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
Added 25 mins ago
A
AI Native Developer (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
Added 25 mins ago
TI
Technical Architect
Themesoft Inc.
Montreal, QC
- Contract
Added 25 mins ago
KG
Network Engineer – (Aruba SD-WAN)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
Routing Expertise: Must have good knowledge of Routing on Cisco Devices, Aruba · Aruba Orchestrator: Must have experience of configuring Policies Aruba Orchestrator
Added 25 mins ago
P&
Stage - Hiver 2027 - Analyste gestion des projets / Internship - Winter 2027- Project Management Analyst
Pratt & Whitney
Longueuil, QC
- Full-time
Added 25 mins ago
A
Intern Developer/ Stagiaire développeur
Acumatica
Montreal, QC
- Internship
Added 25 mins ago
A
Superintendent / Concierge - resident or non-resident
Armco
Mascouche, QC
- Full-time
Added 25 mins ago
A
Building Maintenance - La Kami
Armco
Mont-Tremblant, QC
- Full-time
Added 25 mins ago
WC
(CAN) Préposé au déchargement -FR
Walmart Canada
Sherbrooke, QC
- Full-time
Gérer efficacement les horaires de travail et planifier à l’avance pour conserver son énergie et sa concentration tout au long du quart de travail
Added 25 mins ago
WC
(CAN) Préposé au déchargement -FR
Walmart Canada
Lachute, QC
- Full-time
Gérer efficacement les horaires de travail et planifier à l’avance pour conserver son énergie et sa concentration tout au long du quart de travail
Added 25 mins ago
P&
Coordonnateur administratif principal / Senior Administrative Coordinator
Pratt & Whitney
Longueuil, QC
- Full-time
Added 25 mins ago
JR
Operations Excellence Manager / Responsable de l’excellence opérationnelle - Apparel
JRoss Retail Recruiters
Montreal, QC
- $50,000 to $62,000 CAD / year
- Full-time
Added 25 mins ago
A
Property Manager
Armco
Montreal, QC
- Full-time
Added 25 mins ago
BI
Coordinateur RH
Balcan Innovations Inc.
Terrebonne, QC
- Full-time
Added 25 mins ago
E
Information Technology Security Analyst
Equifax
Montreal, QC
- Full-time

Accenture

AI Native Developer (Agentic / Applied)

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Role Description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Developer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client development teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI development talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google technical teams and a direct pathway to the Forward Deployed Developer program.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window design and tuning against real quality targets

Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open-source models - with fallback routing, token, cost, and latency management

Implement LLM Ops in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client development teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Basic Qualifications

Required qualifications

7+ years of software development experience in production environments

Minimum of 1 year of experience designing and deploying agentic AI solutions in production environments

Experience with agentic orchestration frameworks, including LangGraph, CrewAI, AutoGen, or equivalent

Experience integrating and calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production systems, including provider abstraction, token management, and cost/latency optimization

Experience building and operating RAG pipelines, including embeddings, chunking strategy, vector search, and context design

Experience implementing LLM Ops practices, including eval harness design, prompt versioning, and observability tooling

Experience with cloud-native systems, including Kubernetes, Docker, microservices, serverless architectures, CI/CD, and infrastructure as code (Terraform or Helm)

Proficiency in Python; experience with Java or equivalent backend language acceptable

Experience debugging and monitoring production systems

Experience deploying multiple production agentic AI systems

Experience defining or standardizing RAG, LLM integration, or LLM Ops practices across projects

Experience working directly with client development teams in collaborative development environments

Experience building reusable frameworks, accelerators, or delivery playbooks

Experience defining and tracking AI system performance metrics such as accuracy, latency, safety, and cost

Bachelor’s degree or college diploma in a related field.

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,

role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time

employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $100,300 to $216,700

and

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and deploy production-grade agentic AI systems, including multi-agent orchestration, RAG pipelines, provider integrations, and production monitoring. Work with client development teams to deliver solutions, define performance metrics, and create reusable patterns, accelerators, and playbooks.

Requirements

Requires at least 7 years of production software development experience, including at least 1 year designing and deploying agentic AI solutions in production. Candidates need experience with agentic frameworks, LLM APIs, RAG, LLM Ops, cloud-native systems, Python, production operations, client collaboration, and a related bachelor's degree or college diploma.

Skills

Agentic AI Systems
Multi-Agent Orchestration
Retrieval-Augmented Generation
Python
LLM API Integration
LangGraph
CrewAI
AutoGen
Vector Search
LLM Ops
Evaluation Harnesses
Prompt Versioning
Kubernetes
Docker
Microservices
Terraform

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking
Vector Search
OpenAI
Anthropic
Vertex AI
LLM Ops
LangSmith
Braintrust
Python
Kubernetes
Docker
Microservices
Serverless Architectures
CI/CD
Terraform
Helm
Prompt Versioning
Evaluation Harnesses
Observability
Token Management
Cost Optimization
Latency Optimization
Infrastructure as Code

Report this job

Work requirements

Jobs in Quebec