AI Solutions Engineer

Job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs. **Reports to:** VP, Performance Marketing **Location:** Toronto, ON (Hybrid) preferred ### About the Role As our **AI Solutions Engineer**, you will build, deploy, and scale AI-powered tools and automations across CSC Generation's portfolio of brands. This is a hands-on role that connects AI capabilities with real business processes — you will partner directly with teams, identify where automation creates leverage, and ship solutions that stick. You will start in performance marketing and expand into operations, creative, and logistics wherever AI can unlock efficiency and scale. Success in your first 6–12 months means production automations are live, teams across multiple departments are actively using them, and measurable reductions in manual work are documented. ### What You'll Do - Build and deploy AI tools and automations across brands, including image processing, feed optimization, content generation, reporting, and process streamlining. - Connect software systems and APIs to create integrated workflows that scale across multiple brands with minimal reconfiguration. - Work directly with teams across departments to understand their manual processes and build AI-powered solutions that replicate and improve them. - Write scripts (Python, JavaScript) and design AI workflows using platforms like Claude, ChatGPT, and workflow automation tools (n8n, Zapier, Make, or similar). - Cross-connect data across platforms including Google Ads, Meta Ads, Google Analytics, Google Merchant Center, content management systems, and image libraries. - Scale proven tools to additional brands by adapting validated solutions for cross-brand deployment. - Train non-technical teams on AI tools and ensure sustained adoption and productivity gains. - Continuously identify high-impact automation opportunities by networking across the organization and prioritizing by ROI. ### Required Qualifications - 2-5 years of experience building automations, integrations, or AI-powered tools in a marketing, e-commerce, or operations environment. - Proven experience building autonomous AI agents and architectures, moving beyond standard linear workflows (e.g., n8n, Zapier) to design stateful, dynamic AI systems with memory, or demonstrated experience using LangGraph. - Strong working knowledge of LLMs (Claude, ChatGPT, etc) nd the ability to design reliable, production-grade agentic workflows, prompts, and tool-calling schemas. - Comfortable writing Python and/or JavaScript to connect APIs, manage data pipelines, handle state, and build lightweight application layers for AI agents. - Experience with workflow automation platforms (n8n, Zapier, Make, etc) as a component of broader automated solutions. - Familiarity with digital marketing and e-commerce ecosystems, including platforms like Google Ads, Meta Ads, Google Analytics, or Google Merchant Center. - Strong communication skills with a demonstrated ability to independently identify business friction, propose agentic solutions, and ship without heavy direction. ### Preferred Qualifications - Experience with n8n specifically. - Hands-on experience infrastructure tools like MCP (Model Context Protocol) servers, LangChain, CrewAI, or similar agentic frameworks. - Background in retail, DTC, or multi-brand e-commerce environments. - Experience training or onboarding non-technical users on new tools. ### Why Join The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work. - **Cross-Functional Impact:** Work across marketing, e-commerce, creative, logistics, and operations. Your automations will touch every part of the business. - **AI-First Environment:** This isn't an AI experiment. Get hands-on with the most advanced AI tools in market — from workflow automation to LLM-powered systems — and build a modern skill set that sets you apart. - **Ownership from Day One:** You will set your own priorities, identify your own opportunities, and ship solutions end-to-end. High performers are quickly entrusted with broader scope across the brand portfolio. - **Competitive Benefits:** Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands. ### Interview Process 1. **Recruiter Screen** - 30-minute call to cover background, role fit, and logistics. 2. **Take-Home Challenge** - Build a working automation flow demo (2-3 days, open book). We're evaluating problem-solving and AI fluency, not memorized syntax. 3. **Solution Review Interview** - Walk us through your solution, then handle live modifications on the call. We'll also assess how you communicate to non-technical stakeholders. 4. **In Person Interview** - Details and logistics will be arranged with your recruiter. 5. **Reference Checks** - We'll ask for professional references and conduct checks in parallel with final steps. 6. **Offer** - We move fast for the right candidate.