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AI Automation Engineer

  • Kirkland, QC
  • Hybrid
  • Posted Sep 26, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 3+ years
Minimum education
Bachelor’s degree
Apply by
Oct 24, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

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.

Job details

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.

What you’ll do

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.

Benefits

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

Listed skills

  • JavaScript · Preferred
  • C++ · Preferred
  • Stakeholder Management · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • 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

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Engineering
  • Logistics

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