Top AI Jobs in Toronto

Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Develop and execute go-to-market strategy for AI products: define positioning and messaging, conduct market and competitive analysis, enable sales, coordinate launches, gather customer insights, and measure product performance.

Write and refine on-brand social copy across major platforms, engage fan communities, fact-check content, maintain brand voice guidance, and identify timely cultural opportunities. Use AI agents and reusable workflows to create variants, perform checks, summarize community themes, and improve team processes. The role requires strong editorial judgment, platform awareness, excellent written English, accessibility and accuracy expertise, reliable collaboration, and demonstrated hands-on experience using AI tools beyond basic chatbot prompting.

Own client relationships and account health for complex social media operations. Translate client goals into clear briefs, coordinate planning, publishing, community management, reporting, approvals, and handoffs, and resolve delivery issues. Improve workflows using AI tools and agentic processes, review AI-generated work critically, interpret performance data, protect service quality, track scope and capacity, and communicate recommendations and risks clearly across clients and internal teams.

Own new business and account growth across hyperscalers, neoclouds, enterprises, and frontier AI labs in the Americas. Manage complex technical sales cycles, layered OEM/ODM and channel routes, capacity commitments, design-ins, pipeline forecasting, contracts, and executive relationships. Translate semiconductor performance, power, and TCO advantages into commercial outcomes while partnering with product, engineering, marketing, legal, and finance. Build a qualified pipeline through an existing customer network and represent the company at industry events.

Lead end-to-end UX across Babylist web and mobile: run user research, build rapid interactive prototypes, write production front-end code, evolve the design system, instrument outcomes, and champion AI-native design workflows to create intuitive, delightful experiences for families.

Build prototypes for multimodal AI and human-machine interaction on real devices. Integrate speech, vision, language, and multimodal models; implement interactions combining voice, touch, gesture, motion, and sensor inputs; and evaluate on-device versus cloud AI trade-offs. Collaborate with researchers and designers, iterate based on experiments, debug implementations, and use ML frameworks for inference, fine-tuning, and evaluation.

Lead research in computer vision, spatial perception, and human-centered AI. Develop real-time 2D/3D vision, tracking, gesture recognition, compact model, and agentic AI systems. Integrate foundation models with efficient perception pipelines, optimize for hardware constraints, establish datasets and evaluation metrics, build prototypes, support product integration, and mentor researchers and engineers.

Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.

Build and register domain-grounded data agents over governed Databricks and Snowflake datasets. Perform lakehouse migrations to open formats such as Apache Iceberg, curate catalogue metadata, and support data-contract workflows. Partner with business stakeholders and subject-matter experts to validate data assets. Implement advanced SQL and PySpark pipelines, orchestration, data quality, observability, lineage, masking, and row- and column-level security. The role also supports vector search, embeddings, cloud data onboarding, and regulated-domain use cases.

Lead multidisciplinary engineering teams delivering complex projects for nuclear clients. Provide technical leadership, client escalation management, proposal and design review for digital systems, collaborate with sales and executives, and drive departmental strategy while ensuring high safety and quality standards.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Own and improve the AI Social generative media pipeline: build and ship LLM-driven prompts/agent loops, choose and compose media (image, video, voice, music), collaborate with product/design/content, and deliver polished, production-quality social assets.

Lead product design for OpenTable’s OTKit design system and Table Management System platform. Shape design-system strategy, governance, adoption, and documentation; translate complex operational workflows into localized web and native experiences; and integrate responsible AI into prototyping, design QA, accessibility, and component guidance. Partner with engineering, product, research, and data teams to ensure cohesive, accessible implementation across platforms while mentoring and enabling product teams.

Lead enterprise-wide agentic AI architecture, standards, reusable platform components, evaluation frameworks, and production implementations across SaaS products. Build secure, observable AI systems using Azure, Anthropic, Python, Java, RAG pipelines, model routing, and orchestration. Identify high-value use cases, optimize cost and performance, establish responsible AI governance, mentor engineers, and guide cross-functional teams from prototypes to measurable business outcomes.

Lead Strata from inception as co-founder, defining the vision for regulatory intelligence software, engaging enterprise customers, shaping the product roadmap, providing technical leadership for trusted AI agents, and recruiting teams across go-to-market, product, engineering, and customer success. The role requires early-stage B2B SaaS experience, hands-on LLM and agentic architecture expertise, and the ability to build products emphasizing accuracy, citations, auditability, and expert review.

Assist with creating and deploying networking solutions for AI and cloud infrastructure. Analyze industry trends and technical challenges, contribute to strategic roadmaps, and collaborate with academic and industry professionals. The role focuses on AI infrastructure, HPC and data-center networking, including RDMA, protocol optimization, traffic engineering, congestion control, topology design, resource allocation, networking architectures, software architecture, and distributed systems.

Design and develop core openJiuwen AI Agent Platform capabilities, including agent frameworks, workflows, tool calling, MCP, and multi-agent collaboration. Build AI agents for coding, research, data, and software engineering use cases. Contribute to JiuwenSwarm and open-source projects through feature development, issue resolution, documentation, examples, and community collaboration while exploring LLMs, memory, planning, evaluation, and agentic systems.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Lead month‑end and quarter‑end consolidation and reporting across regions and currencies. Manage intercompany, equity, and treasury transactions; deliver fluctuation analysis and commentary; coordinate with Tax, GL, FP&A and Financial Operations; drive process improvements and leverage technologies to streamline reporting and meet tight deadlines.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Leads creative direction across digital, social, video, and brand campaigns while integrating generative AI into scalable design workflows. Develops concepts, prototypes, prompt libraries, and design systems; ensures brand consistency and quality of AI-generated content. Collaborates with data scientists, engineers, copywriters, animators, clients, and stakeholders. Presents visual strategies, mentors designers, explores emerging technologies, and promotes responsible AI use in creative production.