Top AI Jobs in Toronto

Lead the end-to-end customer-facing conversational agent across chat and voice. Own roadmap, conversation design, partner integrations, and interface UX. Drive daily design in Figma, build prototypes with AI coding tools, define quality metrics (resolution, containment, escalation), and iterate from production data while coordinating GTM and partner teams.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Senior Manager of AI and Innovation Communications will lead communications strategies for AI products, customer storytelling, and executive thought leadership, engaging with technology teams to craft impactful narratives.

Lead architecture and delivery of an AI-ready data platform: define enterprise data models, medallion/lakehouse patterns, data governance, observability, secure interoperability, and mentor teams to build production-ready AI data products.

Guide law firms through onboarding, training, and long-term adoption of LEAP's AI features. Deliver trainings, drive product usage, build client relationships, gather feedback for product teams, monitor engagement, and support growth initiatives.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

Own client operating rhythm for Creative Operations and Systems/Process Design clients: maintain stakeholder context, turn vague requests into clear actions, use AI-enabled workflows for prep and follow-up, produce client-ready summaries, maintain decision logs and trackers, and coordinate with internal teams to prevent scope drift and improve account knowledge reuse.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Lead enterprise-wide AI adoption by translating technical AI concepts for non-technical stakeholders, curating education and communications, partnering with change management and L&D, triaging requests, and building a team to drive measurable AI adoption across the organization.

Lead end-to-end operations for an AI-native Physicist Fellowship: recruit fellows, run selection processes, coordinate advisors and technical teams, design cohort programming, track metrics, and build ecosystem relationships to support AI-driven scientific research.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.

Build, run, and improve AI-driven automations for FP&A, tax, and finance operations. Connect ERP, spend, equity, HRIS, and CRM systems to LLM-powered agents, maintain auditable workflows, and expand the finance team's AI capabilities while supporting forecasting, budgeting, reporting, and month-end close.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Lead design and implementation of LLM-powered product features, integrate AI into Vanta systems, instrument evaluations and monitoring, collaborate with platform and product teams, make pragmatic technical tradeoffs, mentor engineers, and drive AI product quality and adoption to help customers accelerate compliance and risk management.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

Lead product strategy and roadmap for an AEC Insights & Personalization platform. Define platform capabilities, integrate LLMs/ML, partner with engineering and data science, run customer discovery, set success metrics, and drive data-driven experimentation to deliver personalized, proactive experiences across Autodesk AEC products.

Define and execute the ML platform roadmap to accelerate data discovery, experimentation, deployment, inference, and AI integration. Partner with engineers and data scientists to remove workflow friction, build interoperable, scalable platform capabilities (inference, observability, foundation model support), analyze usage, and drive adoption through strong product experiences and cross-functional execution.

Build and lead a new Canada-based engineering team to deliver agentic AI features for the Viewer MCP. Hire ML/software engineers, define technical strategy and roadmap, ensure delivery quality (CI/CD, testing, observability), embed AI evaluation and responsible-AI practices, and partner across product, UX, and platform teams to productionize ML services.

Lead design, development, and operations of scalable, distributed search microservices and platforms. Solve distributed systems and IR problems, ensure reliability and SLAs, perform incident response and postmortems, mentor engineers, and collaborate with architects and product managers to deliver search experiences.

Senior AI leader driving end-to-end delivery of AI solutions across Corporate Functions, focusing on fraud detection and financial crime prevention. Leads cross-functional teams, defines roadmaps, provides hands-on technical architecture and prototyping, ensures governance/security/compliance, promotes enterprise reuse, and drives stakeholder adoption and measurable business outcomes.