Director of Artificial Intelligence
2 days ago
The Opportunity Our client is an established AI software company with 50+ US patents and Fortune 500 customers across the insurance and energy sectors. After 15+ years of delivering custom AI solutions, they're now building a library of reusable ML assets to scale their impact.
They're opening a Montreal hub and hiring a Director of AI to lead it. This person will become the primary ML leader for the entire organization, reporting directly to the COO and building a team of 3-4 engineers from scratch. This isn't a "used to code" management role. You'll be hands-on—architecting solutions, writing production code, and mentoring engineers—while also shaping strategy and engaging directly with customers.
What You'll DoDefine and execute the company's AI/ML strategy across traditional ML, deep learning, and generative AIBuild and lead the Montreal team, with input on every hireDevelop production-grade models: tree ensembles, time-series, transformers, LLMs, agentic workflowsDesign robust MLOps pipelines for training, deployment, and monitoringTranslate complex ML concepts for customers and executivesContribute to the company's patent portfolio
What We're Looking ForDeep expertise in applied ML: scikit-learn, XGBoost, PyTorch/TensorFlow, and statistical modelingExposure to GenAI and agentic frameworks (LangChain, LlamaIndex, or similar)Production deployment experience—you've taken models from notebook to production and kept them running1-2+ years of formal people management or technical leadership with hiring responsibilityStrong communication skills for customer-facing workBilingual (French/English) requiredMust be based in Quebec
Nice to HavePhysics-informed ML or experience in energy/industrial applicationsInsurance or financial services domain experiencePhD in a quantitative field
CompensationBase salary: $180,000–$230,000 CAD+ (depending on experience)Performance bonusMeaningful equity participationCompetitive benefits package
Why This Role This is a rare combination: the stability of an established company with enterprise clients, the autonomy of a startup, and the chance to build something from the ground up. You'll own the ML function, shape the product roadmap, and have a direct line to leadership. If you're a senior ML engineer or lead who's stayed hands-on but wants real ownership and equity exposure, let's talk.
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