AI Solutions Engineer

2 months ago

Toronto, CanadaMid Level / Senior

Responsibilities

Build and deploy AI tools and automations for image processing, feed optimization, content generation, reporting, document processing, and workflow streamlining.
Replace repetitive business processes with reliable, low-maintenance automation pipelines.
Build MCP servers, Claude Desktop extensions, AI-agent architectures, reusable connectors, and integration tooling.
Connect software systems, APIs, marketing platforms, content systems, image libraries, and internal data sources into reusable workflows.
Work with business teams to map manual processes and deliver AI-powered solutions that improve them.
Write Python and JavaScript/TypeScript scripts and design workflows using AI and workflow automation platforms.
Evaluate AI vendors, run pilots, assess ROI and feasibility, and make build-versus-buy recommendations.
Define automation and integration standards, prioritize the automation roadmap by ROI, and drive AI adoption through training, enablement sessions, office hours, documentation, and knowledge bases.
Own production reliability through monitoring, error alerting, root-cause analysis, and data-integrity fixes.
Assess AI-tool security and data-governance risks involving credentials, personally identifiable information, data handling, and retention.

2–5 years of experience building automations, integrations, or AI-powered tools in marketing, e-commerce, or operations, including production deployments.
Strong working knowledge of Claude, ChatGPT, or similar AI tools and the ability to design reliable production-grade AI workflows, prompts, and agents.
Experience with workflow automation platforms, preferably n8n, or Zapier, Make, or similar tools.
Working ability to write Python and JavaScript/TypeScript for API integrations, data processing, lightweight applications, and automation.
Familiarity with MCP servers, AI-agent architectures, or comparable connector and tooling development.
Sound judgment regarding AI-tool security, data privacy, and risks associated with sensitive data.
Ability to evaluate technology options and make recommendations that influence organization-wide tooling decisions.
Preferred: experience operating production AI or automation systems with monitoring and alerting.
Preferred: retail, direct-to-consumer, or multi-brand e-commerce experience.
Preferred: experience training or onboarding non-technical users.
Preferred: familiarity with SharePoint, Excel, SQL, dashboards, and data products.
Preferred: specific experience with n8n.

Remote work in Canada.
Paid time off policies, RRSP matching, medical, dental, and vision coverage.
Supplemental benefit options and employee discounts across the company portfolio of brands.
Cross-functional ownership and opportunities to build expertise in AI tools, agent architectures, and automation platforms.

201-500 employees