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Added 9 mins ago
Manager, Infrastructure and Cloud Services
General Dynamics Missions System International
Ottawa, ON
$120,000 to $160,000 CAD / year
Full-time
Automation & DevOps: PowerShell, Terraform, Ansible, CI/CD, and platform automation
Added 24 mins ago
DevOps Staff Platform Engineer
Orion Digital
Remote, Canada
$135,000 to $170,000 CAD / year
Full-time · Remote
You have built internal developer platforms, MCP servers, or agent tooling that other engineers actually adopted.
Added 38 mins ago
Senior Full-Stack Developer [Security & Risk Products]
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Vancouver, BC
Full-time
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Added 38 mins ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
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Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
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Integrate security into the software development lifecycle, collaborating with DevOps teams to incorporate automated security tools and secure coding practices (DevSecOps) into CI/CD…
Added 38 mins ago
Full Stack Developer
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Added 38 mins ago
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Added 52 mins ago
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issue tracking systems such as JIRA, Azure DevOps Boards, Asana
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Manager - Release, Configuration & Environment Management
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ON · Ontario, Canada
$60 to $70 CAD / hour
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Added 1 hour ago
Java Spring Boot Developer
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Toronto, ON
$90,000 to $110,000 CAD / year
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Added 1 hour ago
Manager, Infrastructure and Cloud Services
General Dynamics Mission Systems–Canada
Ottawa, ON
$120,000 to $160,000 CAD / year
Full-time
Automation & DevOps: PowerShell, Terraform, Ansible, CI/CD, and platform automation
Added 1 hour ago
Manager, Infrastructure and Cloud Services
General Dynamics Mission Systems–Canada
Ottawa, ON
$120,000 to $160,000 CAD / year
Full-time
Automation & DevOps: PowerShell, Terraform, Ansible, CI/CD, and platform automation
Added 1 hour ago
Cloud Platform Engineer
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…design, automate, and operate cloud-native infrastructure, developer tooling, and declarative deployment pipelines across multiple upcoming digital initiatives over the next 6–12…
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GCP Architect
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Added 1 hour ago
DevOps Manager
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We're seeking a highly motivated DevOps Manager to empower our global development organization. If you thrive in leading cross-functional teams, collaborating across diverse locations, and…
Added 1 hour ago
Full Stack Engineer
Iris Software Inc.
Toronto, ON
Contract
Participate in architecture discussions, documentation, DevOps initiatives, CI/CD processes, and continuous improvement efforts.
Added 1 hour ago
Senior AI Engineer – Claims Summarization & Agentic AI
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Added 1 hour ago
Senior Data Engineer - Toronto
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Future Electronics

AI Automation Engineer

Kirkland, QC, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Experience: Minimum 3 years of experience developing automation, software, AI, data, or systems integration solutions.
Posting language: English
Posted: Sep 24, 2026

Apply About employer

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Original job description

Position Summary

The AI Automation Engineer is a member of Future Electronics' AI Automation team and will work alongside other AI Automation Engineers to identify, design, develop, and deploy solutions that eliminate manual work and improve business efficiency across the organization.

This role partners directly with stakeholders across Supply Chain, Finance, HR, Sales Operations, Procurement, Customer Service, and other corporate functions to understand business challenges, identify automation opportunities, and deliver scalable solutions that generate measurable business value.

The successful candidate is a hands-on problem solver who thrives in a fast-paced environment, enjoys working with both technical and non-technical teams, and can transform complex business problems into practical, high-impact solutions.

Key Responsibilities

Business Process Automation

Identify high-volume, repetitive, and time-consuming business processes that can be automated.
Analyze current workflows and recommend process improvements before automation is implemented.
Design, develop, test, and deploy end-to-end automation solutions.
Improve operational efficiency by reducing manual effort, errors, and processing time.
Work directly with business users to understand requirements and define success criteria.

AI Solution Development

Design and implement AI-powered applications that solve real business problems.
Develop intelligent agents, internal assistants, chatbots, copilots, and knowledge management solutions.
Create solutions leveraging generative AI, large language models (LLMs), document intelligence, and natural language processing technologies.
Develop intelligent document processing solutions for invoices, contracts, purchase orders, compliance documents, customer communications, and other business records.
Evaluate, test, and optimize AI solutions for accuracy, effectiveness, and business impact.

Systems Integration

Integrate ERP, CRM, HRIS, supply chain, procurement, ticketing, and internal systems through APIs and modern integration technologies.
Design and maintain scalable workflows that facilitate seamless data exchange across global business platforms.
Build reliable data pipelines to support automation and AI initiatives.
Collaborate with IT and enterprise architecture teams to ensure solutions align with company standards.

Team Collaboration & Innovation

Collaborate with fellow AI Automation Engineers on enterprise-wide initiatives.
Participate in design reviews, knowledge sharing, and development of best practices.
Contribute reusable components, automation frameworks, and standards that benefit the entire organization.
Research and evaluate emerging AI technologies and recommend practical applications.
Partner with IT, Security, Data, Infrastructure, and business teams to ensure successful implementation of solutions.

Measurement & Business Value

Establish KPIs and performance metrics for automation initiatives.
Measure productivity improvements, cost reductions, quality improvements, and operational efficiencies.
Prepare reports and presentations demonstrating the value delivered by AI automation projects.
Support the prioritization and development of the company's automation roadmap.

Governance, Security & Compliance

Ensure all solutions comply with company security, privacy, compliance, and data governance requirements.
Apply responsible AI principles and industry best practices.
Support audit requirements, risk assessments, and change management processes.
Protect sensitive business data and ensure appropriate access controls are maintained.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related field.
Minimum 3 years of experience developing automation, software, AI, data, or systems integration solutions.
Proven success automating business processes and delivering measurable operational improvements.
Experience developing and deploying applications using modern programming languages such as Python, C#, JavaScript, or similar.
Strong understanding of APIs, web services, and system integration methodologies.
Experience working with automation platforms, workflow tools, or low-code solutions.
Strong analytical and problem-solving abilities.
Excellent communication and stakeholder management skills.
Ability to work independently while collaborating effectively within a team environment.

Preferred

Experience with Microsoft Azure AI Services, Open AI technologies, Microsoft Copilot Studio, Power Platform, Power Automate, Power Apps, Logic Apps, or similar technologies.
Experience integrating enterprise business systems including ERP, CRM, HRIS, procurement, warehouse management, or supply chain platforms.
Experience with generative AI, retrieval augmented generation (RAG), vector databases, intelligent agents, and enterprise AI architectures.
Knowledge of SQL, databases, cloud platforms, and modern application development practices.
Experience supporting global business operations or international organizations.
Experience in the electronics, technology, distribution, logistics, manufacturing, or supply chain industries.
Familiarity with software development lifecycle (SDLC), Agile methodologies, and DevOps practices.

Why join us

At Future Electronics, we mean it when we say we care about our employees. Our approach to employee wellness is holistic, which is why alongside competitive salaries, and premium health and dental benefits, corporate employees have access to:

Onsite gym and fitness studio with scheduled group classes - think yoga, aerobics

Telemedicine so you can get the care you need, when you need it, 24/7

Group RRSP plan to take care of future you

Onsite medical clinic

Subsidized employee cafeteria with delicious meals and snacks.

Future Electronics is taking a hybrid approach to work. We value collaboration and working together, which our offices facilitate, combined with working remotely.

Future Electronics is an equal opportunity employer.

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More about this job

Responsibilities

Identify, design, develop, and deploy automation and AI solutions that improve business efficiency, reduce manual work, and deliver measurable value. Integrate enterprise systems, collaborate with business and technical teams, establish performance metrics, and ensure solutions meet security, privacy, compliance, and data governance requirements.

Requirements

Requires a bachelor's degree in a relevant technical field and at least three years of experience developing automation, software, AI, data, or systems integration solutions. Candidates should have programming, API and integration, and workflow automation experience, along with strong analytical, communication, and stakeholder management skills.

Skills

Business Process Automation
AI Solution Development
Generative AI
Large Language Models
Intelligent Agents
Document Intelligence
Natural Language Processing
API Integration
Workflow Development
Python
C#
JavaScript
Stakeholder Management
Data Pipelines
Responsible AI
Performance Measurement

Benefits

Competitive Salary
Health Insurance
Dental Benefits
Onsite Gym and Fitness Studio
Telemedicine
Group RRSP Plan
Onsite Medical Clinic
Subsidized Employee Cafeteria
Hybrid Work

Visa sponsorship

Not detected in the job text

Keywords

Business Process Automation
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Databases
Intelligent Agents
Chatbots
Microsoft Azure AI Services
OpenAI
Microsoft Copilot Studio
Power Platform
Power Automate
Power Apps
Logic Apps
Python
C#
JavaScript
APIs
Web Services
ERP
CRM
HRIS
SQL
Data Pipelines
Document Intelligence
Natural Language Processing
Cloud Platforms
Agile
DevOps

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