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Jobs in Canada

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Added 2 mins ago
FB
AI Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a motivated, detail-oriented AI Engineer to join our growing Audio Intelligence team. In this role, you will help build, refine, and deploy machine learning models that…
Added 2 mins ago
FB
AI Workflow Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We’re a naan traditional company…AI Workflow Engineer
Added 2 mins ago
Gameplay Software Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Understand performance implication of Gameplay systems & algorithms and how to improve.
Added 16 mins ago
CN
Manager, Whiteshell Clean Up
Canadian Nuclear Laboratories
Pinawa, MB
- Full-time
Developing team capability through training, hiring, mentoring, performance management, and knowledge transfer initiatives.
Added 16 mins ago
Project Coordinator
JDS Energy & Mining
Vancouver, BC
…and construction execution. The ideal candidate is a Civil Engineer with experience in mining, heavy civil construction, infrastructure, or industrial projects and possesses strong…
Added 16 mins ago
Marketing & GTM Operations Lead (Hybrid)
OpenTable
Toronto, ON
Audit and re-engineer end-to-end go-to-market processes - including lead capture, enrichment, routing, and handoffs - to eliminate operational friction and accelerate pipeline velocity.
Added 16 mins ago
PC
Senior Safety Instrumented System Engineer II
Parkland Corporation
Burnaby, BC
- Full-time
The Safety Instrumented System (SIS) Engineer is the designated owner of the refinery's Safety Instrumented Systems (SIS) program and serves as the refinery's technical authority for Safety…
Added 16 mins ago
WI
Senior Metallurgist
WSP in Canada
Toronto, ON
- Full-time
…real impact where it matters most. As a Senior Metallurgical Engineer, you will work within a multidisciplinary team dedicated to planning and executing studies and detailed engineering for…
Added 16 mins ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 16 mins ago
BC
Director, Quantitative Developer (C#)
BMO Capital Markets
Toronto, ON
- Full-time
Join the Quantitative Engineering team at BMO Global Markets and take your skills to the next level! As a Quantitative Engineer, you will have the opportunity to work on the derivatives…
Added 16 mins ago
JG
AI Engineer With Strong Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Optimize data pipelines for performance and scalability.
Added 16 mins ago
ES
Gameplay Software Engineer - EA SPORTS™ FC
EA SPORTS
Vancouver, BC
- Full-time
Understand performance implication of Gameplay systems & algorithms and how to improve.
Added 16 mins ago
V
Artificial Intelligence Engineer
VySystems
Mississauga, ON
- Full-time
Optimize data pipelines for performance and scalability.
Added 16 mins ago
GV
Manufacturing Manager - Materials, Planning and Execution
GE Vernova
Markham, ON
- Full-time
…to define and continuously improve material flow across an engineer-to-order Grid equipment factory operating in a Lean Manufacturing environment, spanning both in-house production and…
Added 16 mins ago
A
Digital Solutions Procurement Systems and Smart Materials Analyst
AtkinsRéalis
Mississauga, ON
- Full-time
…project onboarding to enhance platform reliability and business…
Added 16 mins ago
A
Yard Controller Help Desk
AtkinsRéalis
Ottawa, ON
- Full-time
…stakeholders, and help maintain the highest standards of safety, performance, and service…
Added 16 mins ago
CO
Distinguished Engineer / Ingénieur(e) émérite – Voyages d’affaires et dépenses
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Distinguished Engineer / Ingénieur(e) émérite – Voyages d’affaires et dépenses
Added 16 mins ago
CW
Associate Field Engineer Technician – Animal Comfort
CG Wellington
Woodstock, ON
- Full-time
Job Title: Associate Field Engineer Technician – Animal Comfort
Added 32 mins ago
T
Mobile Software Engineer II (Mobile Delivery CDN banking)
TD
Toronto, ON
- Full-time
Work with technology partners to ensure the configuration and custom components meet application requirements and performance goals
Added 32 mins ago
RC
Renewable Energy Engineer (Entry-Level)
Renewable Careers
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
…are expanding our Toronto team and looking for an entry-level engineer who wants to help build Canada's clean energy…
Added 46 mins ago
Planner, Drill & Blast
B2GOLD
NU
Reporting to the Sr. Mine Engineer, UG, this position will be a fly in- fly out 3x3 rotation based in Nunavut, Canada.
Added 46 mins ago
Q
Senior Engineer - Telecommunications
Qualus
Calgary, AB · Vancouver, BC
- Full-time
Power your future with Qualus as Senior Telecom Consulting Engineer to join our Vancouver, BC or Calgary, AB offices to deliver critical telecommunications designs for utility clients…
Added 47 mins ago
WI
Nuclear Engineer in Training
WSP in Canada
Tiverton, ON
- Volunteer
Eligibility for registration as an Engineer-in-Training with Professional Engineers Ontario.
Added 1 hour ago
RA
Staff Android Engineer, Mobile Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
As a Staff Android Engineer you will be the technical leader for the Android platform across our products. You will set its architecture, own its high-risk surfaces (concurrency,…
Added 1 hour ago
Q-
Montréal [Hybrid] - KDB Developer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a KDB Engineer to join one of our clients, a major corporate investment bank based in Montreal.

Jobgether

Senior AI Automation Engineer

Canada

$110,000 to $160,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $110,000 to $160,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 28, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Automation Engineer based in Canada.

In this high-impact role, you will transform business operations by designing and deploying AI-powered automations that eliminate repetitive tasks and improve efficiency across multiple teams. Working closely with Operations, Finance, Marketing, and Customer Success, you will turn complex business challenges into practical, scalable technical solutions. You will combine modern AI technologies, APIs, scripting, and low-code tools to deliver measurable results quickly. Beyond building automation solutions, you will empower non-technical colleagues to develop their own tools through coaching, documentation, and shared resources. You will also help establish reusable frameworks and reliable systems that support long-term organizational growth. This is an opportunity to shape AI adoption, collaborate with senior leadership, and drive meaningful improvements in a dynamic, innovation-focused environment.

\nAccountabilities

Business partnership and discovery: Collaborate with stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand workflows, identify inefficiencies, and prioritize high-value automation opportunities.
Solution design and development: Translate ambiguous business challenges into clear technical requirements and build AI-powered automations, internal tools, and integrations using APIs, scripting, AI-native platforms, and no-code or low-code solutions.
Rapid prototyping and delivery: Develop and deploy functional initial solutions quickly, validate their impact with stakeholders, and iteratively improve them based on feedback and business outcomes.
AI integration: Connect large language models (LLMs), AI agents, retrieval-augmented generation (RAG), and prompt engineering techniques with existing business systems to automate end-to-end workflows.
Production readiness and reliability: Transform successful prototypes into dependable production solutions by implementing monitoring, observability, error handling, documentation, and reusable components.
Automation governance and scalability: Determine which solutions can remain lightweight, standalone tools and which require more robust architecture to support wider organizational use.
Employee enablement and coaching: Support non-technical colleagues in building their own automations through practical guidance, code and workflow reviews, troubleshooting, workshops, and office hours.
Reusable frameworks and platform development: Create shared templates, prompt libraries, integration patterns, and automation components that accelerate adoption and reduce duplicated effort across teams.
Cross-functional collaboration: Partner with Engineering and IT on platform decisions, technical standards, and infrastructure that enable secure, reliable, and sustainable automation.
Performance measurement and strategic planning: Track business impact through metrics such as time saved, reduced error rates, and shorter processing cycles, while identifying future opportunities and helping shape the automation roadmap.

Requirements

Proven experience designing, building, and deploying automations, internal tools, or AI-powered workflows that deliver measurable business results.
Strong practical knowledge of modern AI technologies, including LLMs, AI agents, retrieval-augmented generation (RAG), and prompt engineering.
Experience integrating APIs, scripts, existing business systems, and no-code or low-code automation platforms.
A business-oriented mindset, with the ability to understand user needs, ask insightful questions, clarify ambiguous requirements, and prioritize solutions according to their potential impact.
Demonstrated ability to move quickly from concept to working prototype, validate assumptions, and refine solutions without overengineering.
Sound technical judgment to distinguish between quick, one-off automations and solutions that require production-grade reliability, monitoring, and scalability.
Strong written and verbal communication skills, including the ability to explain technical concepts and trade-offs to non-technical audiences.
Experience mentoring, training, or supporting non-technical colleagues who build their own tools and automations is an asset.
Background in internal tools, Revenue Operations (RevOps), Business Operations (BizOps), or applied AI is considered an advantage.
Confidence working with data, including extracting, cleaning, interpreting, and using it to support business decisions.
Strong analytical, organizational, and problem-solving skills, combined with a proactive, resourceful, and results-driven approach.
Ability to collaborate across diverse teams, adapt to changing priorities, take ownership of deliverables, and communicate progress and challenges transparently.
A growth-oriented mindset, with curiosity, empathy, resilience, and a commitment to continuous improvement and inclusive teamwork.

Benefits

Competitive salary: Annual compensation range of CAD $110,000–$160,000 for candidates based in Canada.
Market-based compensation: Salary benchmarking informed by market data, role scope, geographic location, skills, and experience, with compensation reviewed twice yearly.
Comprehensive benefits: Eligibility for a range of employee benefits plans for permanent team members.
Flexible work arrangements: Opportunities to work from the Vancouver, British Columbia office in a hybrid capacity, with remote arrangements available for select positions.
Professional growth: The opportunity to deepen your expertise in applied AI, automation architecture, and enterprise-wide technology adoption.
High organizational impact: Broad visibility across business functions and opportunities to collaborate with senior leadership on strategic initiatives.
Collaborative environment: The chance to work closely with technical and non-technical teams while building tools that improve productivity across the organization.
Innovation and ownership: Freedom to experiment, develop practical solutions, and influence the long-term direction of AI-powered automation.
Inclusive workplace: A commitment to equitable hiring practices, accessibility, diversity, and a supportive environment where different perspectives are valued.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Responsibilities

You will design and deploy AI-powered automations to streamline business operations across multiple departments. Additionally, you will coach non-technical colleagues and establish reusable frameworks to support long-term organizational growth.

Requirements

The role requires proven experience in building AI-powered workflows and integrating APIs with business systems. Candidates must possess strong analytical skills and the ability to translate complex business challenges into scalable technical solutions.

Skills

AI automation
LLMs
AI agents
Retrieval-augmented generation
Prompt engineering
API integration
Scripting
Low-code tools
No-code tools
Business operations
Workflow optimization
Technical documentation
Mentoring
Data analysis
Problem-solving
Cross-functional collaboration

Benefits

Competitive salary
Comprehensive benefits
Flexible work arrangements
Professional growth
High organizational impact
Collaborative environment
Innovation and ownership
Inclusive workplace

Visa sponsorship

Not detected in the job text

Keywords

AI Automation
LLMs
RAG
Prompt Engineering
APIs
Scripting
Low-code
No-code
RevOps
BizOps
Workflow Automation
Internal Tools
Data Analysis
Observability
Monitoring
Scalability
Automation Governance
Technical Architecture
Business Partnership
Prototyping
Integration
Mentoring
Strategic Planning
Performance Metrics
Cross-functional Collaboration

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