Jobs in Canada

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Added 5 hours ago
GD
Engineer III
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
Work collaboratively within an Agile team to create, build, and optimize mobile applications for peak customer experience using React Native, TypeScript, Javascript ES6, and SQL;
Added 5 hours ago
SI
Software Engineer - Strong Java, Python and Linux experience
Smart IT Frame LLC
Toronto, ON
- Contract
…diagnostics Comfortable troubleshooting production issues using native Linux…
Added 5 hours ago
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Senior Client Partner
TechBlocks
Vaughan, ON
- Full-time
Must have a background in technology services/software engineering, not in infrastructure, licensing, or product resale
Added 5 hours ago
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Principal Technology Architect – AI Transformation Programs
Infosys
Toronto, ON
- Full-time
Proven experience driving Cloud, Data, AI, Digital Engineering, and/or technology modernization initiatives in complex enterprise environments.
Added 6 hours ago
Data Engineer
CareRx
Toronto, ON
Location: Please note that this role currently requires 1 day per week in the office at our 320 Bay Street location
Added 6 hours ago
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Director of Cloud & Kubernetes Platform
McKesson
Mississauga, ON
- Full-time
We seek a visionary and technically accomplished Director of Cloud & Kubernetes Platform Engineering to lead the design, development, and evolution of our cloud-native platform…
Added 6 hours ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
Hands-on with firewalls (Palo Alto, Fortinet, Cisco or cloud-native firewalls)
Added 7 hours ago
Senior Full Stack Developer (Hybrid | Downtown Toronto)
Radiology Partners
Toronto, ON
Built cloud-native and designed for continuous iteration, MosaicOS™ is engineered to solve the industry’s most pressing challenges. Our platform expands clinical capacity, improves…
Added 7 hours ago
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Salesforce Technical Architect
Cognizant
Toronto, ON
- Full-time
…Salesforce implementations with a strong focus on Financial Services Cloud (FSC) and industry…
Added 7 hours ago
ST
Senior Full Stack Developer
Searidge Technologies
Ottawa, ON
- Full-time
Role Profile Title: Senior Full Stack Developer Location: Ottawa Industry: Technology | Aviation Employment Type: Full-time, Permanent Reporting To: Technology Development Manager Role…
Added 7 hours ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)
Added 7 hours ago
MC
Senior Full Stack Developer (Hybrid | Downtown Toronto)
Mosaic Clinical Technologies
Toronto, ON
- Full-time
Built cloud-native and designed for continuous iteration, MosaicOS™ is engineered to solve the industry’s most pressing challenges. Our platform expands clinical capacity, improves…
Added 7 hours ago
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RQ11489 - Software Developer - Intermediate
Maarut
Toronto, ON
- Contract
Experience building and deploying cloud-native web services and
Added 8 hours ago
CI
UI Developer/Angular
COGNITO INC
ON · Ontario, Canada
- Contract
We are looking to hire Sr. Front-End Developer at Brampton, ON/Toronto, ON to design, develop, and support modern enterprise web applications. The ideal candidate will have strong expertise…
Added 8 hours ago
GS
Observability Engineer
Gala Solutions
Montreal, QC
- Contract
…fleet, which focuses on delivering tools in private and public cloud environments. The role focuses on developing and modernising observability platforms for cloud-native and hybrid…
Added 8 hours ago
FM
Machine Learning Software Developer, In-Vehicle Infotainment
Ford Motor Company
Ottawa, ON
- Full-time
Integrate with the platform: Embed inference in the Android Automotive OS software stack through system services and native (C++ and JNI) code, working against camera, audio, and vehicle…
Added 8 hours ago
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GRC Security Analyst
LTM
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experience in both cloud native and on-prem solutions
Added 8 hours ago
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Senior Mobile Full Stack Engineer - [EACF260827]
Hatch
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
We are looking for a hands-on Senior Mobile Full Stack Engineer who has deeply mastered both backend systems and native mobile development. You will take end-to-end ownership of critical…
Added 8 hours ago
Senior Manager, Global Facilities & Risk Management
Celestica International LP
Toronto, ON
Added 9 hours ago
S
Chief Information Officer
SaskTel
Regina, SK
- Full-time
…enterprise transformations, including OSS/BSS, CRM, ERP, or cloud-native modernization, is highly…
Added 9 hours ago
Implementation Consultant (Global)
Stripe
Toronto, ON
Experience with AI-native companies, developer infrastructure, cloud platforms, or other rapidly scaling technology companies.
Added 9 hours ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)
Added 9 hours ago
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AI Native Developer (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
Experience with cloud-native systems, including Kubernetes, Docker, microservices, serverless architectures, CI/CD, and infrastructure as code (Terraform or Helm)
Added 9 hours ago
SI
Java Backend Developer -- Telecom Domain
Spruce InfoTech Inc.
Toronto, ON
- Contract
Hands-on experience with cloud-native application development on Azure (preferred), AWS, or GCP, utilizing Kubernetes, Helm Charts, and CI/CD pipelines.
Added 9 hours ago
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Front End Engineer
Kablamo
Toronto, ON
- Full-time
Experience with mobile app development with React Native

Accenture

AI Native Developer (Agentic / Applied)

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

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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

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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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Jobs in Canada