Full-time jobs in Canada (397,688 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

397,688 listings · 48,071 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,529 listings), Health Match BC (4,422 listings), Walmart (3,041 listings).

Common roles: Project manager, Sales representative, Store manager.

68,727 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	24.00	39,699
CAD / year	80,000.00	26,636
CAD / month	5,317.00	727
USD / year	125,000.00	231
CAD / week	1,635.30	87
CAD / day	360.00	44
USD / hour	22.00	29
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

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: 1% remote, 16% hybrid, 82% 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

Full-time jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 21 hours ago
M
Driver - Home Delivery
Morrisons
Kawartha Lakes, ON · Victoria Road, ON
- Full-time
Added 21 hours ago
BA
Client Engagement Associate
Burkett Asset Management Limited
Victoria, BC
- Full-time
Added 21 hours ago
B
Sprinkler Service Fitter
BGIS
Markham, ON
- Full-time
Added 21 hours ago
DU
3rd Class Power Engineer
Dalhousie University
Truro, NS
- Full-time
Must be willing and able to work shifts, rotating shifts and overtime, as required
Added 21 hours ago
CP
Senior Financial Analyst - 1 Year Contract
CuBE Packaging Solutions Inc.
Aurora, ON
- Full-time
Added 21 hours ago
TH
Registered Nurse| Full-Time| 82 Buttonwood Ave- BUT 2E IP Rehab
Trillium Health Partners
Toronto, ON · Etobicoke, ON
- Full-time
Hours of Work/Shift: 12-hour shift; Days and Nights
Added 21 hours ago
FB
Equipment Operator
Forbes Bros. Group of Companies
Regina, SK
- Full-time
Added 21 hours ago
S
Licensed Dispensing Optician
Specsavers
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Must hold a valid Ontario Optician licence and be in good standing with the College of Opticians of Ontario
Added 21 hours ago
FD
Customer Service Manager
Farmers Depot
Cambridge, ON
- Full-time
Added 21 hours ago
S
Junior Recruiter
SaskTel
Regina, SK
- Full-time
Added 21 hours ago
OM
Planner, Connections Planning
Omnicom Media
Toronto, ON
- Full-time
Added 21 hours ago
OM
Senior Planner, Connections Planning
Omnicom Media
Toronto, ON
- Full-time
Added 21 hours ago
SS
Sales Associate - Tools
Summit Search Group
Brampton, ON
- Full-time
Added 21 hours ago
TL
Jacksons Landing Line Cook
The Landing Restaurant Group
Burlington, ON
- Full-time
Added 21 hours ago
M
Digital Marketing Specialist (SEO & Content)
Modall
Uxbridge, ON
- Full-time
Added 21 hours ago
FS
Database Administrator
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Added 21 hours ago
B&
Billing Coordinator
Black & McDonald Limited
Markham, ON
- Full-time
Added 21 hours ago
LB
Senior Bilingual Administrator
Laurentian Bank
Toronto, ON
- Full-time
Added 21 hours ago
OM
Planner, Connections Planning
Omnicom Media
Montreal, QC
- Full-time
Added 21 hours ago
LO
Associate Veterinarian (In-Home, Full-Time) (Canada)
Lap of Love Veterinary Hospice
Richmond Hill, ON
- $135,000 to $150,000 CAD / year
- Full-time
Full-time schedules range from 3–5 days per week · Must possess a valid Ontario driver’s licence (Background and motor vehicle record checks required)
Added 21 hours ago
LO
Associate Veterinarian (In-Home, Full-Time)
Lap of Love Veterinary Hospice
Toronto, ON · Scarborough, ON
- $135,000 to $150,000 CAD / year
- Full-time
Full-time schedules range from 3–5 days per week · Must possess a valid Ontario driver’s licence (Background and motor vehicle record checks required)
Added 21 hours ago
KS
Bilingual Customer Service Representative
Kelly Science, Engineering, Technology & Telecom
Longueuil, QC
- Full-time
Added 21 hours ago
A
Tax Manager
Armco
Halifax, NS
- Full-time
Cross border tax experience considered an asset
Added 21 hours ago
MI
Associate, Portfolio Operations
MUFG Investor Services
Halifax, NS
- Full-time
Added 21 hours ago
GR
Receiver & Production Coordinator
Goldbeck Recruiting
Delta, BC
- 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

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Work requirements

Full-time jobs in Canada