Top AI Jobs in Toronto

Develop actuarial models and predictive analytics, transform raw data into business insights, perform financial and regulatory calculations, conduct research, and collaborate with Actuarial, Claims, and Underwriting teams. The role supports actuarial development through hands-on projects, cross-functional collaboration, and ongoing professional exam progress.

Lead the planning, coordination, governance, and delivery of cross-functional AI initiatives from ideation through deployment and scaling. Maintain program visibility, roadmaps, milestones, risks, dependencies, budgets, and executive reporting. Partner with investment, data, engineering, product, and business teams to prioritize use cases, operationalize AI solutions, support adoption, and achieve measurable business outcomes.

Supports operational risk management and enterprise crisis and continuity programs for an investment organization. Responsibilities include reviewing trading processes, managing vendor risk, event reporting, key risk indicators, business continuity plans, crisis response, risk dashboards, and AI-driven automation. The role requires strong financial-services risk expertise, trading-process knowledge, AI implementation experience, and business continuity or crisis management capabilities.

Leads transformation of the bank’s first-line risk and controls practice. Develops GRC strategies and operating models for issues, controls, incidents, metrics, and regulatory alignment. Partners across business units and lines of defense, drives continuous improvement through technology and AI, strengthens reporting, provides risk-management consultation and training, and supports a positive risk culture.

Own partner marketing programs that generate enterprise, public-sector, and life sciences pipeline. Build joint campaigns with partners such as AWS, Deloitte, and Carahsoft; plan field events; execute account-based marketing; engage sales teams; and measure partner-sourced and influenced revenue. Lead marketing initiatives for regulated industries, using intent data, buying signals, targeted account lists, compliance-focused messaging, and AI-enabled tools to optimize campaign performance.

Own the full sales cycle for accounting and bookkeeping partnerships, from prospecting and consultative discovery through pilot agreements and partner activation. Build trusted relationships with firm owners, enable referrals, and hand off activated partners to Account Management. Generate outbound pipeline through account-based prospecting, collaborate cross-functionally, improve the channel playbook, and use sales technology and AI to increase effectiveness.

Own the cardiology product portfolio strategy, roadmap, growth, adoption, cloud migration, AI strategy, pricing, packaging, and commercial performance. Lead cross-functional teams across product, engineering, design, marketing, and sales while representing the portfolio to customers, clinicians, analysts, and executives. Drive customer research, go-to-market execution, retention, revenue growth, margin, and product health metrics.

Design and build scalable Java backend systems, architect microservices and REST APIs, write and review production code, lead development initiatives, establish coding standards, mentor engineers, and guide technical strategy. The role also involves evaluating technologies, collaborating with product stakeholders, and applying emerging AI and machine learning tools to improve engineering practices and system design.

Drive revenue through complex enterprise sales of cloud data security solutions. Identify customer needs, architect solutions, deliver proof-of-value engagements and technical demonstrations, and consult with executive stakeholders. Manage cross-functional resources, support partner channels, and represent the company at marketing events. The role requires cloud security, data protection, networking, database, IAM, encryption, regulatory, privacy, and technical communication expertise, with travel up to 50% within the assigned territory.

Lead the evaluation, training, fine-tuning, and production integration of machine learning and large language models. Build prompt engineering and model evaluation pipelines, optimize Elasticsearch-backed AI workflows, benchmark commercial and open-source models, and monitor production performance. Collaborate with product, engineering, and security teams to deliver safe, scalable AI capabilities while identifying improvements to data pipelines and engineering processes.

Own Xnurta’s growth funnel from signup through activation and expansion while leading product positioning, messaging, packaging, launches, and sales enablement. The role combines hands-on experimentation, funnel instrumentation, customer research, competitive analysis, and AI product marketing. Success requires shipping growth improvements, influencing roadmap decisions, and demonstrating measurable activation or expansion gains in a B2B SaaS environment.

Own execution of Zynga’s internal AI operating platform from intake and triage through release and post-launch measurement. Partner with engineering on complex platform capabilities including chat, knowledge bases, connectors, workflows, and documents. Define requirements, conduct technical research, establish metrics, prioritize requests, unblock delivery, and drive operational rigor across multi-team workstreams.

Leads monitoring, optimization, governance, and operational performance of AI capabilities in BMO’s Virtual Connect contact centre. Partners with product, technology, analytics, risk, and business stakeholders to execute AI initiatives, analyze performance data, manage operational and compliance risk, develop reports and dashboards, resolve strategic issues, and recommend improvements. The role supports AI strategy, prioritization, stakeholder alignment, customer escalation management, and enterprise standards.

Leads Revenue Operations strategy, systems, processes, forecasting, capacity planning, territory design, reporting, and cross-functional GTM initiatives. Owns Salesforce data integrity, automation, and revenue process scalability from lead qualification through expansion and retention. Manages and develops a high-performing team while partnering with Sales, Marketing, Customer Success, Finance, and Operations leadership to improve data-driven decision-making, change adoption, and operational performance.

Leads complex, large-scale technical programs across multiple teams, products, and organizations. Manages portfolios, timelines, dependencies, risks, resources, and blockers while serving as the primary client and executive stakeholder contact. Partners with engineering, product, design, project management, and senior leadership to evaluate trade-offs, align teams, translate technical issues into business decisions, and drive predictable delivery and continuous improvement.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.

Partners with business leaders on organizational effectiveness, workforce planning, talent strategy, performance, engagement, and team structure. Coaches leaders through change and complex employee situations, strengthens leadership capability, supports succession and career development, and uses people data to identify trends and risks. Contributes to scalable People & Values programs, process improvements, and practical AI enablement.

Own the Salesforce product backlog, priorities, intake, and delivery processes. Translate business needs into user stories and acceptance criteria, align Revenue Operations, Marketing, and Finance stakeholders, negotiate trade-offs, and partner with architects and administrators on solution planning. Champion AI-enabled CRM improvements, represent Salesforce in tool evaluations, and support governance through SOX controls, deployment schedules, and UAT standards.

Leads transversal finance activities across Sanofi Canada, including consolidated reporting, forecasting, budgeting, P&L management, legal entity governance, controls, and executive support. Owns finance digital and AI transformation, including AI-powered forecasting and Power BI adoption. Coordinates finance hub collaboration and Gross-to-Net process transition, while partnering across business units, corporate functions, and global teams to deliver strategic financial initiatives and change management.

Leads complex data science and advanced analytics initiatives to support business decisions. Oversees data mining, feature engineering, data quality, predictive modeling, segmentation, and model deployment. Develops programming for data preparation and model management, creates visualizations and executive presentations, establishes modeling guidelines, supports documentation and training, and improves data management tools. Acts as a subject matter expert and advisor while coordinating stakeholders and translating business needs into analytical solutions.

Manages Indigo’s enterprise strategic planning process, including planning calendars, leadership facilitation, strategic materials, balanced scorecards, and performance reporting. Leads cross-functional process redesign using sociotechnical systems methodology, identifying opportunities for automation, AI enablement, workflow optimization, and continuous improvement. Partners with executives, process owners, and subject matter experts to implement improvements and measure benefits. Manages and develops a Process Redesign Analyst.

Own revenue enablement for BDR, AE, Customer Activation, and Customer Success teams. Build onboarding, learning pathways, sales methodology reinforcement, call scorecards, coaching mechanisms, product launch readiness, and messaging programs. Operate enablement tools, evaluate the LMS, measure business impact, and drive adoption of new programs and skills. Partner closely with Sales, Customer Success, Product Marketing, and Product leadership while using AI to improve content creation and identify performance gaps.

Own the strategy, roadmap, customer discovery, AI quality standards, pricing, packaging, launch, and commercial outcomes for Klue’s AI-first competitive intelligence product. Partner with engineering, design, sales, and marketing to double product revenue within 12 months, improve retention, accelerate shipping, establish AI evaluation standards, and build customer- and sales-generated pipeline.

Own the growth strategy and product experience for Jobber Teammate, an AI teammate for home service businesses. Lead discovery, onboarding, activation, first value, habit formation, advocacy, acquisition, customer conversion, metrics, and monetization. Build AI onboarding experiences, understand customer behavior, drive mainstream adoption, and collaborate with Growth, Product Marketing, and Marketing. The role requires shipping AI products, managing non-deterministic experiences, and expanding adoption from early users to existing customer bases.

Drive adoption of SOCi’s AI-powered agentic workforce across B2B SaaS customer accounts. Lead discovery sessions, workshops, webinars, and value reviews; translate AI capabilities into measurable business outcomes; help customers operationalize AI agents; identify and remove adoption barriers; and collaborate with Customer Success, Product, Sales, and Delivery teams on feedback, enablement, positioning, and repeatable adoption playbooks.