Top AI Jobs in Toronto

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

Lead the Fraud and Ad Quality product portfolio, defining strategy, roadmap, go-to-market, and execution for ad fraud detection, invalid traffic measurement, and content quality solutions. Partner with Engineering, Data Science, Business Development, Commercial, and Product Marketing teams to guide architecture, prioritize initiatives, drive adoption, and deliver innovative ML/AI-enabled products for digital advertising customers.

Leads the teams developing Samsara Assistant, Agent Studio, and agent extensibility. Manages approximately 10 machine learning engineers, applied scientists, and full-stack engineers through two tech leads. Owns product activation, answer quality, repeat usage, technical direction, agent platform frameworks, cross-functional partner adoption, and team hiring and development. The role combines AI product leadership, software engineering, platform strategy, and customer-focused growth for production agentic systems.

Manage strategic procurement for software, SaaS, cloud, and professional services suppliers. Partner with executives and cross-functional teams to develop vendor strategies, lead renewals and complex contract negotiations, conduct supplier reviews, and optimize procure-to-pay and source-to-contract processes. Use AI, automation, analytics, Coupa, and CLM tools to improve efficiency, manage risk, and deliver savings.

Leads and grows software engineering teams, including hiring, coaching, performance management, and career development. Defines technical strategy and roadmaps for backend, frontend, mobile, API, and AI-powered products. Oversees architecture, design reviews, cross-functional delivery, and production systems at scale while translating ambiguous customer problems into measurable outcomes. Partners with product, design, and customer teams and raises engineering quality, velocity, and organizational standards.

Leads revenue and go-to-market strategy across segmentation, sales coverage, monetization, market expansion, pricing, packaging, and investment priorities. Builds models, analyses, and decision memos; advises senior Sales, Finance, and Product leaders; translates customer and field insights into product and commercial recommendations; and partners with Field Operations and Enablement to execute multi-quarter changes.

Manage relationships with institutional data and software clients and independent advisors. Drive retention, product adoption, value realization, onboarding, training, account planning, and expansion opportunities. Provide consultative guidance, monitor client health, advocate for customer needs, and coordinate with Sales, Product, Support, and Implementation teams. The role requires English and French fluency, financial services and technology knowledge, strong communication skills, and occasional client travel.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.

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 and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

Deploy, integrate, test, troubleshoot, and tune cloud, network, telecom, and software systems for customers. Automate integration and operational workflows using scripts, APIs, AI, and LLM-enabled applications. Prepare data, validate AI recommendations, monitor automation quality, resolve defects, document results, and follow security, privacy, safety, and responsible AI requirements while collaborating with technical stakeholders.

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.

Build and implement credit, fraud, and financial risk models from raw data through validation and deployment. Develop risk strategies, policies, limits, loss-prevention systems, and expected credit loss measurement. Analyze behavioral and transaction data, partner with fintech and risk leaders, evaluate vendors, and communicate recommendations to stakeholders. Coach analysts, establish technical standards, and collaborate with BI and data science teams on risk reporting and machine-learning applications.

Lead enterprise B2B communications for Cohere by developing customer and partner stories, shaping business-focused technology narratives, managing earned and owned campaigns, supporting launches and executive communications, cultivating media relationships, advising spokespeople, identifying reputational risks, coordinating global teams, and managing agency partners.

Leads Tier 2 application support for enterprise applications, integrations, batch processes, data feeds, and operational services. Oversees incident triage, escalations, root-cause analysis, service performance, vendor relationships, operational readiness, risk controls, and continuous improvement. Manages and develops support staff, coordinates production transitions, improves knowledge and automation, communicates service health and risks to stakeholders, and participates in after-hours support for critical incidents and releases.

Develop and enhance counterparty credit risk methodologies, derivatives exposure analytics, trading limit monitoring, and regulatory capital solutions. Manage model lifecycles including testing, implementation, documentation, monitoring, recalibration, and governance. Collaborate with Capital Markets, Risk, Technology, Finance, Model Validation, Audit, and Compliance teams, while communicating quantitative risks and methodology decisions to technical and senior stakeholders.

Analyzes lottery, sales, financial, operational, supply chain, and customer data to identify trends, explain performance, forecast outcomes, and recommend improvements. Builds and maintains dashboards, reporting solutions, measurement frameworks, financial models, and performance metrics. Partners with cross-functional teams and leadership to support strategy, planning, product performance, customer insights, and operational efficiency while advancing AI-enabled analytical capabilities.

Own hands-on HR operations across multi-state compliance, policy drafting, payroll, benefits, leave escalations, audits, handbook updates, and process improvement. The role will review HR administration work, lead the annual compliance audit and handbook refresh, and rearchitect HR operations using an AI-native approach. Candidates need at least two years of in-house, multi-state HR generalist experience and a bachelor’s degree.

Develops and manages public-sector enterprise accounts, builds executive relationships, generates pipeline, manages territories and forecasts revenue. The role orchestrates Microsoft and partner resources to support cloud and AI transformation, drive upsell, co-sell, renewals, customer satisfaction, and sustainable growth. It also requires maintaining product, solution, industry, and competitive expertise while coordinating strategic account plans and partner engagement.

Supports fraud performance reporting, KPI governance, scorecards, executive materials, operational excellence, quality assurance, and continuous improvement. The role analyzes performance data, identifies operational risks and inefficiencies, contributes to business cases and financial analysis, supports fraud funnel optimization, and partners with cross-functional teams to implement analytics and AI-enabled solutions. It also assists with audit readiness, training, governance, and workforce enablement.

Builds practical AI solutions, reusable prompts, copilots, analytical tools, prototypes, and workflows using Python, PySpark, and Databricks. The role assesses AI risks involving privacy, bias, reliability, and regulation; documents solutions; provides practical guidance; supports user adoption; and helps colleagues develop AI capabilities through demonstrations, training materials, and best practices.