Top AI Jobs in Toronto

The AI Engineer will design and develop scalable AI solutions for finance, ensuring compliance and collaboration across teams. Responsibilities include coding, model lifecycle management, automation, and technical mentoring.

Build, deploy, and support AI agents and intelligent workflows on Microsoft Azure and other enterprise AI platforms. Design orchestration, integrate LLMs, implement APIs and RAG/vector DBs, ensure responsible-AI guardrails, collaborate across product and operations, and monitor production AI workflows.

Work on building production-ready agentic AI applications and the Continuum platform: agent orchestration, model routing, persistent memory, tool integrations, retrieval pipelines, guardrails, evaluation, observability, and backend/APIs. Write well-tested Python code and contribute to open-source examples and documentation.

Lead end-to-end client engagements to scope, prioritize, and deliver AI-native products and agentic solutions. Run greenfield builds, legacy platform rebuilds, and client enablement; write PRDs, set guardrails, partner with engineers, manage stakeholders, and measure ROI.

Lead the Compass agent product as the technical and science owner: design and ship agentic/LLM-powered features end-to-end, set evaluation and experiment frameworks, build data-driven models and tooling, and collaborate across backend, data, and frontend to raise agent quality and enable safe action-taking behaviors.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Design and scale AI-powered sales enablement experiences: architecture for generative AI, RAG, AI agents, content discovery, guided selling, coaching automation, governance, pilots, integrations with enablement/CRM/LMS systems, and measure adoption and business impact.

Build and lead Replicant’s company-wide AI enablement program. Develop MCP integrations, shared agents, agent identity management, enterprise tool connections, reusable AI workflows, and cost-visibility mechanisms. Partner with Sales, Delivery, Finance, People, Engineering, and other teams to identify opportunities, implement solutions, promote AI literacy, and develop internal champions. Optimize AI systems through model routing, prompt caching, better agent design, and secure infrastructure.

Build Replicant’s internal AI enablement program by developing reusable agent workflows, MCP integrations, agent identity management, enterprise SaaS connections, and cost visibility mechanisms. Partner with Sales, Delivery, Engineering, Finance, People, and other teams to identify opportunities, implement secure AI solutions, create shared templates and skills, build AI literacy, and develop internal champions. Optimize AI infrastructure through prompt caching, model routing, tool consolidation, and improved agent design.

Own multiple client product engagements from discovery through delivery, including AI agent development, greenfield product builds, legacy platform modernization, and AI-native enablement. Translate ambiguous needs into PRDs, roadmaps, success criteria, and sequenced work; partner with engineers on agent architecture, evaluations, and guardrails; manage stakeholders, scope, budgets, timelines, and ROI. Lead client presentations, workshops, steering committees, and internal delivery playbooks.

Lead strategy and execution for Auth0s AI identity products, owning roadmap, prototyping 0-to-1 features, translating standards into technical requirements, and collaborating with engineering, design, security, and GTM teams to drive adoption among developers and customers.

Build and integrate LLM-powered applications and agents (RAG, vector DBs, agent orchestration) into the PureFacts SaaS platform, design evaluation and safety frameworks, implement APIs and scalable services, and partner with product and engineering to deliver AI copilots and automation that improve revenue analytics and operational efficiency.

Lead content strategy and execution across LinkedIn, X, YouTube and paid social. Produce and edit videos, customer stories, founder content, and employee-generated assets. Own ideation through final cut and distribution, iterate on what works, and collaborate with GTM. Role is on-site in Toronto.

Build a vendor-agnostic agent platform and runtime primitives, implement evaluation, reliability, safety, and governance tooling, and develop data grounding, retrieval, and memory systems to support agentic workflows and model serving in production.

Build next generation internal AI coding tools to enhance Stripe's engineering productivity. Collaborate across teams and represent customer experiences effectively.

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 deploy AI/LLM-powered features and RAG pipelines for internet-scale threat intelligence. Prototype, fine-tune, evaluate, and optimize models; integrate AI into platform services; implement CI/CD, regression testing, and security guardrails; collaborate across product, frontend, and data teams to deliver real-time, low-latency AI-driven analytics and automation.

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.

Own full B2B sales cycle to drive enterprise and API adoption of Viggle's video, 3D, mocap, and text-to-motion products in the US gaming market. Prospect, demo, negotiate, and close deals with studios and platforms; coordinate integrations and POCs with technical teams; manage pipeline, CRM, forecasts, contracting, and market feedback; represent the company at industry events.

Serve as the bridge between client problems and automation/AI solutions: lead discovery workshops, produce PDDs and agent specs, design prompts and evaluation frameworks, scope solutions, coordinate UAT and training, and support delivery across 2–3 engagements concurrently.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

Conduct research on safe, reliable embodied AI for robotic manipulation and autonomous decision-making. Develop and evaluate reinforcement learning, imitation learning, and learning-from-demonstration methods; leverage negative data, human feedback, and corrective demonstrations; design and train Vision-Language-Action and Vision-Language models; implement and test models in simulation and on real robotic platforms; collaborate to translate research into scalable prototypes and publish results.

Lead rapid concept-to-production work using AI design tools and modern full-stack frameworks. Build accessible, performant frontends and robust backends, implement APIs, auth, caching, and databases, and collaborate with designers and AI builders to maintain design systems and deliver production-ready applications.

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.

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