Top AI Jobs in Toronto

Designs, builds, and operates AI-powered products, platforms, and agentic workflows that improve software product development. Partners with technology teams to identify workflow friction, implement multi-agent systems and MCP integrations, establish AI governance, and measure business value. Provides senior technical leadership, enterprise architecture guidance, stakeholder engagement, risk management, research, project execution, and mentorship across international engineering initiatives.

Supports the third-party risk management program by challenging inherent risk questionnaires, conducting supplier due diligence, reviewing financial health and adverse media, monitoring ongoing vendor risks, and tracking issues and remediation. The role supports regulatory, audit, and governance activities, advises stakeholders on vendor lifecycle responsibilities, prepares risk reporting, and contributes to improvements in TPRM processes, controls, tools, and frameworks.

Leads GWAM technology platforms and IT operations, overseeing platform engineering, cloud services, infrastructure, automation, AI enablement, security, resilience, and production operations. Sets strategic roadmaps, modernizes infrastructure, delivers self-service capabilities, manages budgets and vendors, oversees transformations, and builds high-performing leadership teams. Partners with executives and technology functions to align investments with business, regulatory, risk, and customer objectives.

Develop and deploy predictive and prescriptive analytical models throughout the data science lifecycle. Responsibilities include data extraction and wrangling, exploratory analysis, model training and evaluation, deployment scripting for batch and real-time outputs, production maintenance, debugging, and communicating results to business stakeholders.

Partner with business leaders on organizational design, talent development, performance management, employee relations, workforce planning, and team effectiveness. Build scalable People processes for onboarding, performance management, employee lifecycle management, manager enablement, documentation, reporting, and controls. Use AI, automation, HR systems, and people data to improve workflows and decision-making while advising leaders on sensitive employee matters and supporting organizational growth.

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.

Identify and qualify new business opportunities in the Toronto area through research, email, phone, CRM, and prospecting campaigns. Build client relationships, advance opportunities through the sales pipeline, collaborate on service scoping, support existing accounts, track KPIs, analyze campaign performance, and represent Mirego at events and conferences.

Develops and executes brand strategies for NKPR and client accounts, maintaining brand positioning, messaging, visual identity, and consistency. Manages SEO, GEO, websites, content, social strategy, and AI-driven digital growth initiatives. Reviews creative work, mentors social media specialists, analyzes performance, and recommends improvements. The role combines strategic brand stewardship with hands-on execution across multiple channels and brands.

Leads D2L’s Artificial Intelligence Transformation Office portfolio, driving enterprise AI adoption, process redesign, technology modernization, change management, and measurable operational outcomes. Develops AI literacy, governance, reusable design patterns, and enablement programs while identifying high-impact use cases across business functions. Partners with senior leaders, IT, Security, Legal, and Privacy to prioritize initiatives, manage risks, oversee adoption, and sustain improvements in efficiency, quality, decision speed, and organizational capacity.

Own full-cycle recruiting for applied scientists, machine learning engineers, data scientists, research scientists, and MLOps engineers across Salesforce AI organizations. Partner with senior technical leaders on hiring strategy, build proactive talent pipelines, advise on market conditions, negotiate complex compensation packages, and deliver high-touch candidate experiences. The role requires deep technical recruiting expertise, strong AI/ML fluency, and experience competing for elite talent in highly contested markets.

Leads quality engineering and testing across a fraud technology portfolio. Responsibilities include developing test strategies, planning coverage, designing and executing functional, integration, end-to-end, regression, exploratory, data, and non-functional tests, implementing automation, managing defects, and supporting release governance. The role validates fraud rules, scoring models, alerts, workflows, graph analytics, AI/ML capabilities, and fraud intelligence solutions while collaborating with technology, data, claims, underwriting, product, and vendor teams.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Own Pontosense’s company narrative across technical content, demo videos, LinkedIn, website news, YouTube, and social channels. Translate radar sensing, AI, product progress, partnerships, and company culture into clear, credible content for partners, investors, talent, and industry audiences. Work directly with the CEO and technical teams, support leadership thought leadership and press, manage the content calendar, and measure engagement and inbound impact.

Provides second-line independent oversight and challenge across technology, cyber, AI, data, digital, and model risks. Leads AI governance framework implementation, technology and cyber risk assessments, risk appetite monitoring, control reviews, remediation oversight, regulatory monitoring, and executive committee reporting. Advises technology and control teams on responsible innovation, resilience, third-party dependencies, business continuity, and risk acceptance while escalating exposures beyond approved thresholds.

Drives new and expansion revenue among small and medium-sized business fleet customers. Responsibilities include prospecting, qualifying leads, conducting discovery conversations, delivering product demonstrations, managing opportunities in Salesforce and Salesloft, using partner and referral programs, and collaborating with revenue operations, marketing, and account teams. The role requires strong communication, organization, sales aptitude, customer relationship skills, and interest in developing expertise in telematics and fleet management.

Lead a new B2B2C insurtech venture from launch through scale. The CEO will develop the product and commercial model, secure enterprise partnerships, convert pilots into lasting relationships, build operating capabilities, and deliver exceptional consumer experiences. The role requires executive leadership, B2B and B2C experience, strong financial judgment, decisive execution, resilience, communication skills, and the ability to represent the company with customers, partners, stakeholders, and the press.

Lead the creation of a new B2B2C insurance platform from concept to scale. The role owns product priorities, partners with enterprise stakeholders, designs consumer experiences, builds prototypes, ships AI-enabled capabilities, runs pilots and experiments, and connects product workflows with operations. The ideal candidate is a hands-on 0-to-1 builder with strong product and design instincts, technical fluency, customer understanding, and the ability to operate independently in an early-stage environment.

Develops and maintains enterprise AI security strategy, architecture, governance, standards, and roadmaps. Designs secure patterns for AI applications, models, data pipelines, infrastructure, APIs, LLMs, RAG solutions, and AI agents. Assesses AI-specific threats, supports architecture reviews and vendor evaluations, and partners with technology, risk, legal, compliance, and security teams. Provides guidance on identity, access controls, encryption, monitoring, incident response, responsible AI, and regulatory compliance while educating teams on secure AI practices.

Leads strategy and operations initiatives for Roche Product Development Data Sciences. Partners with senior leaders to shape strategy, manage planning cycles, oversee strategic initiatives, synthesize complex information, and drive cross-functional execution. The role supports workforce planning, operating model design, data and AI transformation, risk identification, business cases, and organizational alignment across global functions.

Leads the strategy, growth, profitability, commercialization, and lifecycle management of an assigned product portfolio. Develops portfolio roadmaps, business cases, go-to-market plans, and performance measures while coordinating Product, Sales, Marketing, Technology, Operations, Finance, Legal, Risk, and Compliance teams. Oversees product governance, customer and market insights, delivery initiatives, vendor partnerships, regulatory readiness, and investment decisions. Builds and coaches a high-performing team and represents the portfolio with senior leadership and external stakeholders.

Provides executive and administrative support to the General Manager and Senior Leadership Team, including calendar and email management, meeting coordination, travel, expenses, correspondence, and action-item tracking. Oversees office operations, supplies, vendors, facilities, onboarding, budgets, invoices, policies, reception support, and events. Prepares presentations and documents, coordinates stakeholders, supports special projects, and handles confidential information with discretion.

Generate outbound pipeline for skilled nursing or home health and hospice accounts through cold calling, LinkedIn, email, events, and creative campaigns. Build contact lists, messaging, and multi-touch sequences from scratch; qualify senior healthcare operators; schedule meetings for Account Executives; and collaborate with RevOps and Marketing on territories, campaigns, and AI-powered prospecting processes.

Build and deploy production LLM agents and automated workflows for business teams. Responsibilities include developing Databricks lakehouse data foundations, integrating SaaS and internal systems, implementing evaluation and monitoring, exposing APIs, creating reusable AI components, and ensuring privacy, cost, reliability, and maintainability. The role partners with engineering, data science, architecture, and business stakeholders, and includes documentation, demos, and occasional travel to New York.

Prospect into enterprise accounts, identify decision-makers, and generate qualified sales meetings through personalized outbound outreach. Partner with Enterprise Account Executives and GTM Engineers to build pipeline and achieve revenue goals. Develop expertise in enterprise data and AI challenges, communicate Airbyte’s value, and share customer insights with Marketing, Sales, and Product teams. The role requires disciplined high-volume prospecting across calls, emails, and follow-ups.

Manage data partnerships end to end, including sourcing opportunities, vendor outreach, requirements definition, contracting, data transfers, updates, and issue triage. Collaborate with modeling and annotation teams, oversee external data scraping vendors, facilitate dataset handoffs, product manage novel data collection methods, and develop scalable processes and tools. The role requires experience managing data vendor programs, AI data supplier relationships, data analysis, data management, and cross-functional collaboration.