Top AI Jobs in Toronto

Attorney supporting the intersection of technology, AI, and legal practice. Responsibilities include identifying AI and automation opportunities, evaluating and implementing legal technology tools, designing workflows, maintaining knowledge assets, analyzing legal work product, training attorneys and staff, and advising Tech & Innovation lawyers. The role requires at least four years of technology-focused legal experience, bar admission, strong communication skills, and an interest in workflow design, tool development, or process improvement.

Own Caseware’s AI roadmap and serve as the single source of truth for priorities, milestones, dependencies, risks, and program health. Lead cross-functional AI launches from strategy through delivery, coordinating product, engineering, design, marketing, enablement, and support. Establish operating cadences, launch readiness processes, dashboards, metrics, and reporting. Proactively resolve blockers, clarify trade-offs, and improve program management tools and operating models across AI initiatives.

Leads the transformation of Product operations through AI, automation, integrated tooling, and redesigned workflows. Identifies high-value opportunities, builds scalable agents and automations, establishes secure operating practices, and measures improvements in velocity, capacity, quality, adoption, and decision-making. Partners with Product, IT, Security, Data, Legal, and R&D while driving AI fluency, reusable patterns, and enterprise-ready capabilities.

Supports buy-side mergers and acquisitions across target sourcing, financial valuation and modeling, due diligence, deal structuring, and post-merger integration. The role coordinates internal and external stakeholders, prepares LOIs, term sheets, and investment materials, tracks integration KPIs, resolves operational issues, and supports the integration of acquired teams. It also contributes to continuous improvement, AI-enabled workflow modernization, professional development, and clear presentation of complex financial information.

Leads ABC Fitness’s company-wide vision, strategy, and roadmap for AI Agents. Identifies customer and commercial opportunities, establishes product principles, develops business cases, and guides products from concept through launch and scale. Partners with product, engineering, architecture, and go-to-market teams while influencing platform investments across the company. Defines portfolio success metrics including customer value, adoption, revenue, and strategic differentiation.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.

Represent Neo Financial at Dufferin Mall and other local events by acquiring customers for Neo Credit Cards, Neo Money accounts, and related products. Representatives engage directly with customers, explain financial products and technology, achieve performance targets, and earn uncapped instant commissions. The role offers flexible full-time or part-time scheduling. Candidates should be motivated by sales performance, comfortable traveling to event locations, and preferably have direct sales, retail, telemarketing, marketing, or door-to-door sales experience.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Leads the design, development, deployment, and commercialization of enterprise AI capabilities for the ARGUS Intelligence Platform. Builds LLM applications, agentic workflows, intelligent data extraction, AI analytics, and domain-specific models. Establishes AI/ML engineering standards, governance, testing, deployment, and reliability practices; evaluates emerging technologies; guides architecture and model strategy; mentors engineers; and collaborates with Product, Engineering, Architecture, Data, and Analytics teams.

Leads business process optimization and digital enablement for CMC Regulatory Affairs. Responsibilities include process mapping, KPI development, regulatory systems and data improvement, automation and AI initiatives, cross-functional project delivery, change management, business requirements, dashboards, and implementation of technology-enabled solutions across pharmaceutical regulatory operations.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Leads new-account business development for custom software services. Responsibilities include targeted prospecting, networking, consultative discovery, opportunity qualification, proposal development with technical teams, executive stakeholder engagement, marketing collaboration, and account transition. The role targets complex B2B technology engagements with long sales cycles and multiple decision-makers. Occasional client travel is required. Experience in technology professional services, custom software development, consulting, or complex solution sales is required.

Develop new business accounts for custom software development services. Responsibilities include targeted prospecting, networking, qualifying complex client needs, creating tailored proposals with technical teams, managing consultative sales cycles, engaging executive and technical stakeholders, and transitioning new accounts to delivery and account management. The role requires pipeline discipline, technology-services sales experience, and occasional client travel.

Senior Business Analyst supporting investment valuation, stress testing, derivatives pricing, risk monitoring, and exposure solutions across asset classes. Partners with product owners, architects, traders, portfolio managers, risk, finance, and technology teams to define requirements, manage roadmaps and backlogs, prototype solutions, and deliver sustainable technology. The role also requires embedding AI into capital markets workflows and supporting valuation systems’ day-to-day operations.

Leads the deployment of AI-powered workflows across business functions, transforming manual processes into measurable, production-ready systems. Partners with department leaders and Engineering to build automation, evaluation, monitoring, governance, and shared AI infrastructure. Develops templates, playbooks, training, and enablement to increase adoption while ensuring security, privacy, compliance, and responsible data use. Requires strong hands-on AI fluency, cross-functional leadership, workflow expertise, and the ability to teach complex concepts clearly.

Lead AI coding-tooling standards and developer experience, define Skill Marketplace conventions, and build production-quality internal AI application prototypes. Develop reference implementations for agent workflows, streaming UX, memory, multi-agent collaboration, and AI-native engineering processes. Provide architecture guidance, review code, publish technical content, deliver workshops, and collaborate asynchronously with APAC teams. The role requires strong full-stack engineering, product judgment, LLM application experience, and public technical influence.

Leads the strategy, roadmap, product outcomes, and P&L for Quadient’s on-premise CXM Flex portfolio. Oversees product management, platform modernization, AI integration, hybrid deployment, security and compliance capabilities, customer migration to SaaS, and long-term support. Partners with engineering, sales, customer success, and professional services to protect renewals, grow enterprise accounts, guide strategic customer engagements, and strengthen market position. The role also leads M&A evaluations and develops a high-performing product management team.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Leads discovery and development of enterprise conversational AI experiences for BMO’s contact centre, including Natural Language IVR. Partners with technology, analytics, design, risk, and business stakeholders to define requirements, deliver scalable solutions, monitor performance, support production enhancements, and align technology initiatives with business strategy. Provides specialized consulting, analysis, reporting, stakeholder guidance, and risk-informed recommendations.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Join Brookfield's AI Infrastructure Fund to analyze investments, conduct due diligence, and manage assets while collaborating across teams and fostering a dynamic culture.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and success metrics, and coordinate engineering, security, billing, design, documentation, marketing, and field teams. Represent MongoDB externally while enabling reliable, secure experiences for human and AI-agent developers.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.

Creates production-quality AI-generated images and video sequences for advertising, visual development, previs, IP development, and final shots. Builds ComfyUI workflows, trains LoRAs, evaluates generative models, maintains visual consistency, and delivers compositing-ready outputs. Collaborates with art direction, VFX, 3D, real-time, and production teams while documenting workflows, managing compute usage, respecting licensing and consent requirements, and training other artists.