Top AI Jobs in Toronto

Staff Content Designer responsible for shaping investing product experiences, simplifying complex concepts such as options, margin trading, futures, and perpetuals. Partners early with product, design, engineering, marketing, brand, legal, and compliance teams. Develops content standards, workflows, templates, and AI-powered processes to scale quality. Requires strategic thinking, hands-on UX writing, mentorship, and the ability to become a subject matter expert. Applicants must submit a portfolio with at least three case studies demonstrating improved user experience and business outcomes.

Architects and develops AI-powered systems, backend services, APIs, experimentation frameworks, and automation using foundational models. Integrates AI capabilities with microservices, AWS, Snowflake, and diverse technology stacks while ensuring scalability, reliability, and maintainability. Collaborates with product, data science, and engineering teams to translate business needs into technical solutions, evaluate emerging AI tools, and rapidly prototype proof-of-concept applications.

Leads the technical vision and delivery of an enterprise agentic AI program. Oversees architecture, evaluation, deployment, MLOps, reliability, security, and scalability across multiple workstreams. Partners with executives and client stakeholders on roadmaps and high-stakes decisions, aligns data science and engineering teams, establishes technical standards, and mentors senior technical leaders. Requires deep experience in AI/ML, LLMs, agentic systems, AWS, distributed systems, evaluation, and production-scale software engineering.

Lead Tilt’s product design function across consumer financial products. Set design vision and quality standards, manage and grow a team of six designers and one researcher, build research capabilities, influence product strategy, scale the design system, advocate for users, and partner with Product, Engineering, Marketing, and executive leadership. Drive AI-enabled design practices and ensure product experiences deliver measurable user and business impact.

Leads and develops software engineering teams while remaining hands-on with coding, architecture, code reviews, and technical solution design. Partners with product and design leadership to identify opportunities and create adaptable roadmaps. Coaches engineers, supports career growth, provides actionable feedback, participates in hiring, and helps build high-performing teams developing large-scale SaaS products.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Own Relay’s integrated campaign strategy, calendar, briefs, operating cadence, measurement, and budgets across Brand, Demand Gen, Lifecycle, Product Marketing, and Influencer teams. Coordinate cross-functional launches, connect brand campaigns to full-funnel outcomes, establish repeatable campaign processes, present actionable performance insights, and embed AI into planning, production, and reporting. The role requires strong storytelling, channel fluency, stakeholder management, and customer understanding, ideally in B2B SaaS or fintech.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.

Research and develop world models that perceive, simulate, and forecast changes in properties and infrastructure. Design representation-learning and predictive-modeling approaches using aerial and satellite imagery, property records, and other signals. Build rigorous evaluations, run large-scale cloud GPU experiments, document findings, and transition successful research into production capabilities. The role requires deep learning expertise, empirical rigor, strong ownership, and collaboration with AI and engineering teams.

Leads product strategy, vision, roadmap, and execution for 1Password’s Developer Experience, AI security, and AI-powered security portfolios. Oversees secure developer and AI-agent workflows involving identity, delegation, secrets delivery, and access control. Partners with engineering, design, marketing, partnerships, security, and GTM teams; leads standards and developer engagement; establishes product metrics and operating rhythms; and recruits and mentors senior product managers.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Leads private equity investments in the technology and software sectors, overseeing sourcing, due diligence, financial modeling, financing, negotiations, investment committee approvals, portfolio performance, value creation, exits, governance, and stakeholder relationships. Manages investment professionals, develops sector strategies, represents the organization on portfolio company boards, ensures regulatory compliance, and collaborates with global leadership on investment initiatives.

Own product development for Maple’s patient access experience, from discovery through launch and iteration. Research patient needs, analyze data, prioritize opportunities, and partner with engineering, design, clinical, marketing, support, data, and AI teams. Use AI and prototyping to validate ideas, improve care navigation, and ship intuitive digital experiences. Translate healthcare, technical, business, and regulatory constraints into product decisions while measuring outcomes and aligning stakeholders.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Leads total fund data science, AI-enabled analytics, semantic modeling, governed data products, and investment reporting capabilities. Designs analytical models, ETL/ELT pipelines, semantic metric layers, data marts, and LLM/RAG interfaces across enterprise platforms. Provides technical oversight, governance, quality controls, stakeholder influence, and strategic delivery across Finance, Investments, Technology, and Data. Coaches colleagues and advances responsible AI adoption, reporting automation, investment insight generation, and operational efficiency.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Own and transform Aviva’s AEM website ecosystem, including Aviva.ca and Aviva Partner. Build and launch pages, components, experiments, and AI-assisted improvements directly; define product strategy and roadmap; optimize engagement, adoption, and sales impact through analytics, personalization, and experimentation. Lead complex delivery with an engineering vendor, balance stakeholder demands, and introduce AI-enabled workflows that accelerate shipping and reduce engineering dependency.

Drives enterprise AI adoption by identifying high-value automation opportunities, building secure AI-enabled workflows, integrating business systems and data sources, and establishing governance, monitoring, onboarding, and success metrics. Partners with Finance, Legal, HR, IT, Security, Engineering, and Data teams to scale reusable AI capabilities, support internal champions, and improve productivity, reliability, quality, and operational risk.

Own the strategy, roadmap, and execution of Scout, Daloopa’s AI-native analyst workflow product. Responsibilities include defining financial analyst workflows, partnering daily with engineering and design, evaluating AI output quality, conducting user discovery, improving engagement and retention, enabling go-to-market teams, and prototyping ideas. The role requires end-to-end ownership, technical judgment, strong user research, and experience shipping AI or complex workflow products in an early-stage environment.

Research and develop advanced networking technologies and protocols for AI infrastructure, cloud, and data-center networks. The role involves designing technical roadmaps, optimizing network performance, addressing distributed systems challenges, and deploying innovations involving RDMA, routing, congestion control, topology design, and resource allocation. The researcher will also collaborate with academic and industry professionals and connect technical research with product strategies.

Own Sophos EDR strategy, roadmap, technical product development, AI-powered experiences, and go-to-market execution. Translate customer needs, threat research, telemetry, competitive intelligence, and business goals into product priorities. Partner with engineering, security operations, threat research, marketing, sales, and customer success to deliver endpoint detection, investigation, threat hunting, response, reporting, and XDR/MDR upgrade capabilities while driving adoption, revenue, and customer outcomes.

Leads Cineflix’s enterprise AI and technology transformation agenda, identifying automation opportunities, developing internal LLM capabilities, modernizing business systems, improving data governance, and integrating workflows. The role partners with IT, business leaders, HR, Legal, and Privacy to establish responsible AI practices, manage vendors, drive adoption, support organizational change, and measure business outcomes across finance, rights management, production, payroll, planning, and other functions.

Corporate Controller leads accounting operations, GAAP financial reporting, monthly close, consolidations, technical accounting, treasury, tax coordination, internal controls, audits, and M&A integration. The role builds and develops a distributed accounting organization, improves close timelines through automation and process optimization, oversees compliance with U.S. GAAP and complex transactions, supports executive reporting and forecasting, and partners cross-functionally on scalable finance systems and processes.

Leads fraud operations, customer success, vendor relationships, service delivery, and commercial growth. Oversees investigators and customer success managers, drives product adoption, client ROI, revenue forecasts, upselling, operational SLAs, quality assurance, and incident management. Partners with sales, product, consulting, data, and technology teams on onboarding and launches while translating client insights into product improvements. Recruits and develops teams, manages vendors, and leads automation and AI initiatives.