Top AI Jobs in Toronto

Runs biology and chemistry laboratory protocols, records filmed procedures, maintains detailed experimental traceability, manages materials and equipment, troubleshoots technical issues, and improves laboratory workflows. The role produces reliable scientific datasets for robotics and embodied AI systems and requires hands-on wet-lab, robotics, automation, and scientific communication skills.

Manages stress testing analytics, enterprise reporting, and risk data initiatives. Aggregates, maps, reconciles, validates, and analyzes large datasets; consolidates model results; applies analytical adjustments; and transforms complex outputs into visualizations and presentations for senior stakeholders. The role supports credit risk, loss forecasting, lending products, and stress testing while using Power BI, Excel, and PowerPoint, with potential Python, SQL, and SAS applications. It also provides analytical support, recommendations, and data-driven insights across technical and business teams.

Develop and productionize NLP and AI features for multilingual communications risk and compliance analysis. Design, fine-tune, evaluate, serve, and monitor transformer and LLM-based models, including RAG and embedding search. Own database architecture, data models, administration standards, testing, and infrastructure improvements supporting NLP pipelines. Collaborate with research, product, MLOps, engineering, and revenue teams; explain model behavior to clients and mentor engineers.

Develop and productionize NLP and LLM solutions for multilingual financial communications, including model training, fine-tuning, evaluation, RAG, and risk detection. Design and administer databases and data models supporting NLP pipelines, improve cloud infrastructure, document technical work, explain model behavior to clients, collaborate across research, product, MLOps, and engineering teams, and mentor engineers.

Provides executive cybersecurity leadership for Sun Life Asset Management, overseeing cyber risk, resilience, governance, regulatory compliance, security strategy, third-party risk, CIAM platforms, incident preparedness, and transformation initiatives. Advises business and technology executives, challenges risk decisions, manages escalations, represents the organization with regulators and auditors, and leads approximately 10 security professionals across a global matrixed environment.

Leads cybersecurity strategy, cyber risk oversight, resilience, governance, regulatory engagement, and security outcomes for Sun Life Canada. Advises executives, challenges risk decisions, oversees third-party and technology risks, supports incident preparedness, and guides secure adoption of cloud, AI, automation, and digital platforms. The role leads approximately 10 security professionals, represents security with regulators and auditors, and aligns business priorities with enterprise security strategy and risk appetite.

Provides senior technology consulting and advisory services for operational, infrastructure, transit, and mission-critical systems. Assesses technology environments, develops strategies and roadmaps, advises on architectures and integration, and supports modernization, procurement, implementation, cloud, data, automation, and cybersecurity initiatives. Builds client relationships, leads assignments, supports proposals, and contributes to growing CIMA+’s Ontario practice.

Advises clients on planning, modernization, integration, and implementation of complex operational and digital technology systems. Assesses architectures, processes, risks, and dependencies; develops strategies, roadmaps, requirements, solution concepts, and implementation approaches. Supports integrations involving APIs, middleware, cloud, data platforms, cybersecurity, automation, AI, and IoT. Builds client relationships, leads assignments, contributes to proposals, and helps grow CIMA+’s Ontario practice, with a strong focus on transit and other mission-critical sectors.

Leads process improvement and transformation initiatives within Internal Audit, using advanced analytics, process modeling, and data-driven methods to solve complex operational problems. Advises business leaders, redesigns processes, develops governance and control frameworks, and drives efficiency, quality, and risk improvements. Manages cross-functional stakeholders, supports enterprise programs, communicates recommendations to senior audiences, and mentors team members while ensuring regulatory and internal control compliance.

Leads and develops an SMB Account Executive team, driving sales performance, territory planning, forecasting, outbound pipeline generation, hiring, coaching, and revenue attainment. The role partners cross-functionally, supports strategic deals and negotiations, ensures CRM and sales-tool accuracy, and implements process improvements to improve team productivity and growth.

Supports AI project coordination, testing, user acceptance testing, documentation, training materials, stakeholder communication, launch readiness, and user feedback activities. The intern will collaborate with technical and business teams while gaining experience in AI implementation, responsible AI delivery, project coordination, and adoption of AI-enabled solutions.

The Chief Technology and Information Officer leads enterprise technology strategy, cybersecurity, data, digital capabilities, infrastructure, applications, technology operations, resilience, vendor relationships, budgets, and investment governance. The role advises executive leadership, oversees modernization and organizational change, establishes data and responsible AI governance, and builds a high-performing technology organization across a geographically dispersed, decentralized nonprofit.

Leads business development and strategic growth across Canada's financial services sector. Responsibilities include acquiring new logos, expanding existing accounts, selling technology consulting and managed services, managing enterprise sales cycles, leading RFPs and contract negotiations, forecasting revenue, engaging C-level stakeholders, and developing partnerships across banking, capital markets, wealth management, payments, insurance, AI, data, cloud, cybersecurity, and digital transformation.

Leads senior client relationships and multiple concurrent engagements, owning delivery outcomes, engagement economics, team development, executive communication, and account growth. The Principal guides consulting and AI engineering teams, translates client priorities into solutions, manages scope and profitability, develops new opportunities, and contributes to firm strategy. The role emphasizes business judgment, people leadership, technical fluency, and trusted-advisor relationships with private equity sponsors and portfolio-company executives.

Drive enterprise sales of Harvey’s AI solutions to law firms and professional services organizations. Manage named accounts through the full sales cycle, from prospecting and demonstrations to contracting, onboarding, and expansion. Build executive relationships, exceed revenue targets, lead consultative multi-threaded sales, collaborate with product and engineering teams, and develop scalable sales playbooks and resources.

Serves as the strategic technology liaison for Legal, Corporate Affairs, HR, Finance, M&A, and business units. Develops demand intake frameworks, business cases, ROI and TCO models, technology roadmaps, and governance processes. Manages vendor procurement, SOWs, SLAs, delivery milestones, and third-party risk. Collaborates with architecture, platform, data, security, and delivery teams to define solutions, prioritize backlogs, drive adoption, and measure post-implementation value realization.

Lead the end-to-end data science lifecycle for multiple business use cases, including data extraction, wrangling, feature engineering, statistical modeling, machine learning, evaluation, deployment, and change management. Partner with business stakeholders to identify opportunities, recommend solutions, assess model fairness and risk, and integrate predictions into underwriting, claims, customer experience, and risk processes. Collaborate with IT Services to establish MLOps for batch and real-time prediction services.

Designs enterprise-scale data processing frameworks and Azure-based data solutions, develops AI-powered automation, leads complex technical initiatives, mentors engineers, and influences data engineering strategy. The role requires advanced Python, Azure data services, data warehousing, distributed computing, and architecture expertise, along with stakeholder collaboration and technical leadership.

Supports operational risk governance for Global Wealth and Asset Management. Responsibilities include analyzing risk exposure, preparing management and regulatory reporting, tracking mitigation actions and risk events, supporting risk and control assessments, change risk, third-party risk, business continuity, and key risk indicators. The role also coordinates with risk teams, challenges business conclusions, promotes risk culture, and handles ad hoc reporting and analysis.

Leads operational and financial analytics for orthodontic practices and corporate stakeholders. Designs Power BI dashboards, scorecards, forecasting models, and performance frameworks; analyzes costs, profitability, staffing, and operational drivers; conducts variance analysis and strategic modeling; ensures data integrity; and presents actionable insights to executives and business leaders. The role also advises practices, supports process improvement, and drives adoption of reporting across a distributed network.

Leads CIBC’s media analytics and decision sciences practice, guiding measurement, experimentation, attribution, forecasting, optimization, and AI/ML initiatives. Partners with marketing and business leaders to translate priorities into actionable media insights and investment strategies. Oversees end-to-end analytical delivery, data quality, governance, and responsible AI practices while managing, mentoring, and developing a team of media analytics professionals. The role is hybrid, requiring 1–3 days per week onsite.

Develop and execute pricing, packaging, and monetization strategies for SaaS products. Conduct customer and market research, build financial and pricing models, analyze performance metrics, and recommend improvements. Partner with Product, Marketing, Sales, Revenue Operations, Finance, and Customer Success on product launches, strategic deals, sales enablement, and operational adoption. Use AI tools to support quantitative analysis, scenario modeling, reporting, and pricing optimization.

Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.

Build and maintain scalable backend applications and REST APIs using Java and/or Python. Integrate AI-powered workflows, automation, and LLM capabilities into enterprise financial services applications. Develop system integrations, manage technical deliverables from design through implementation, collaborate with business and technology stakeholders, and maintain code quality while adapting to evolving technical environments.

Leads CIBC’s enterprise brand, client experience, and insights strategy. Oversees brand positioning, marketing communications, sponsorships, client experience roadmaps, NPS, analytics, AI-enabled insights, reputation, accessibility, and seniors’ advocacy. Advises senior stakeholders, manages budgets and agency relationships, and leads a large multidisciplinary team to improve brand health, client loyalty, and enterprise performance.