Top AI Jobs in Toronto

Lead full-cycle recruitment for specialized AI and machine learning roles across Canada. Build talent pipelines, partner with engineering and research leaders, provide talent market intelligence, optimize recruiting metrics and processes, and close highly sought-after technical candidates. The role requires advanced sourcing expertise, Canadian technology market knowledge, compensation negotiation skills, and strategic partnership with senior technical stakeholders.

Leads and transforms the procurement function through technology sourcing, vendor lifecycle optimization, system consolidation, budgeting, forecasting, contract negotiations, and procurement tool adoption. Partners with Finance, Legal, IT, InfoSec, and senior leadership to manage risk, optimize agreements, drive cost savings, improve governance, and support organizational change. Oversees vendor onboarding, renewals, change orders, stakeholder escalations, training, and daily procurement operations.

Leads end-to-end compliance and integrity risk assessments across international business units. Responsibilities include planning assessments, interviewing stakeholders, transaction testing, data analysis, evaluating regulatory and third-party risks, reporting findings to executives, tracking remediation, identifying misconduct, and improving assessment methodologies. Requires strong judgment, investigative and analytical skills, executive communication, international compliance expertise, and at least 10 years of relevant experience.

Leads global merchant analytics product strategy and execution, prioritizing customer experience and measurable business outcomes. Manages and mentors cross-functional teams, partners with engineering and data science, integrates AI and analytics into products, manages roadmaps and risks, and translates complex capabilities into customer benefits. Requires expertise in product management, merchant analytics, advertising ecosystems, third-party data, AI, stakeholder influence, and global team leadership.

Leads Mastercard’s global AI thought leadership strategy by researching AI trends, developing original viewpoints and executive content, managing publication lifecycles, measuring program impact, and partnering with AI, product, marketing, communications, and executive teams. Represents Mastercard at industry events, customer forums, and analyst engagements while translating complex AI topics into compelling business narratives.

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.

Design, launch, and improve Mastercard’s Responsible AI governance framework. The role integrates governance processes with risk-control tools, partners with business, technical, legal, regulatory, and risk teams, evaluates operations data and stakeholder feedback, manages process-improvement roadmaps, communicates framework changes to leadership, and supports audits. The position requires strong stakeholder management, communication, negotiation, analytical, change-management, and organizational skills, along with knowledge of Responsible AI and AI technologies.

Leads Expedia B2B Operations’ global business enablement portfolio, focusing on continuous improvement, process design, automation, AI-enabled servicing, operational readiness, governance, crisis response, and partner communications. The role redesigns workflows, builds business cases, improves service and financial metrics, governs operational changes, supports launches, and drives adoption across teams, vendors, partners, Product, and Technology.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Supports client pilots, onboarding, and training for an AI legal technology platform. Designs and evaluates legal AI use cases, assesses output quality, translates user feedback into product improvements, and documents deployment best practices. The role requires legal exposure, strong communication, analytical judgment, adaptability, and enthusiasm for AI, prompt engineering, and workflow automation.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

The Commercial Finance Business Partner provides senior financial partnership to commercial leaders, leading planning, forecasting, scenario modeling, business cases, profitability analysis, pricing and investment evaluations. The role translates financial and operational data into actionable insights, challenges assumptions, identifies risks, supports resource allocation, and drives performance interventions. It coordinates cross-functional workstreams, develops leadership narratives, mentors finance partners, and improves decision support through digital and AI-enabled tools.

Leads a hybrid servicing operations ecosystem spanning quality management, mailroom operations, and outsourced customer service. Owns servicing processes, quality assurance, risk mitigation, analytics, workflow modernization, and AI-enabled automation. Manages employees, contractors, and QA teams while driving continuous improvement, stakeholder alignment, vendor oversight, and enterprise transformation initiatives.

Lead data science initiatives for agentic AI products, partnering with data scientists, AI/ML engineers, and product managers. Build, deploy, validate, and optimize machine learning models using large-scale numeric and textual data. Design A/B tests, analyze telemetry, translate technical findings into business strategy, research emerging technologies, and develop talent while guiding enterprise-scale AI decisions.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, productivity, and operating cadence. Partners with executive leadership across Sales, Marketing, Finance, Product, Customer Success, and Support to drive scalable growth, AI adoption, systems transformation, and revenue predictability. Builds and develops a high-performing global Revenue Operations organization.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Designs, builds, deploys, and operates production software and AI systems on AWS or GCP. Responsibilities include developing backend services and APIs, building RAG and inference platforms, managing Kubernetes and Terraform infrastructure, implementing CI/CD and observability, responding to incidents, and optimizing cloud and GPU costs. The role owns systems throughout their lifecycle while establishing reliability, governance, security, and cost controls for scalable AI capabilities.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Develop and deploy scalable, responsible AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, product, and program teams to deliver AI-powered products. Apply advanced optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost, while shaping the long-term roadmap for foundational AI platforms.

Design, develop, test, deploy, and support scalable AI systems and software components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, program management, and product teams to deliver AI-powered products. Develop optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost while contributing to the long-term technical roadmap for foundational AI systems.

Leads strategic partnerships, specialty pharmacy growth, high-cost medication procurement, reimbursement, patient support programs, and national expansion. Optimizes distribution, inventory, warehouse operations, financial performance, and compliance with manufacturer and regulatory requirements. Collaborates across operations, finance, clinical, and logistics teams to implement patient-centered programs, secure funding, and improve access and outcomes. Uses analytics and artificial intelligence to evaluate opportunities and support evidence-based decisions.

Leads AI security strategy, governance, risk assessments, control design, regulatory readiness, and remediation oversight. Advises business and technology stakeholders on AI risks, secure architecture, adversarial threats, monitoring, and resilience. Establishes standards and controls aligned with AI risk frameworks, leads governance forums, tracks risk metrics, and delivers executive-ready guidance. The role requires extensive information security or technology risk experience, strong AI security knowledge, and the ability to influence stakeholders across a regulated financial institution.

Own the Everand consumer mobile app’s vision, strategy, roadmap, and reader experience across iOS and Android. Lead a cross-functional squad, prioritize investments, drive execution, improve retention and engagement, and maintain high app quality. Use reader research, experimentation, analytics, AI, and personalization to guide decisions while partnering across product, engineering, content, marketing, and leadership.