Top AI Jobs in Toronto

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

The Director of Accounting, AI Operations will manage accounting functions across 13 brands, enhance automation through AI, ensuring a faster financial close. Responsibilities include overseeing reconciliations, improving financial reporting, and optimizing accounting operations.

Support Grafana's AI organization by defining KPIs, designing experiments, guiding instrumentation, building dbt models, creating dashboards, and translating analytics into product recommendations to improve AI-powered features and workflows.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

Conduct red teaming and adversarial evaluations of AI systems across violence, extremism, child safety, grooming, crisis, and other harm categories. Design evaluation frameworks, test scenarios, scoring criteria, taxonomies, and interventions that translate real-world harm expertise into structured technical outputs. Review model responses, exercise expert judgment, and produce methodology and findings for technical and government audiences while meeting ethical, legal, contractual, and data protection obligations.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, partner with engineering on prompts, evaluation frameworks, guardrails, and APIs. Drive experiments to improve automation, answer quality, and customer satisfaction while integrating next-gen voice models and partnering with vendors like OpenAI.

Lead end-to-end development and scaling of Jerry.ai's AI agent platform, unifying LLMs, prompt strategies, human-in-the-loop workflows, and APIs to increase automation and customer satisfaction. Partner with engineering, product, and OpenAI to design evaluation frameworks, guardrails, and rollouts; run experiments to improve quality, latency, cost, and automation rates.

Lead consolidation and strategy for the company's AI platform: migrate distributed prompts to a unified system, prioritize chatbot work, drive architecture and API decisions, own the OpenAI relationship and ChatGPT App presence, evaluate emerging technologies (voicebot, computer capabilities), and coordinate engineering, data, and operations to deliver production-grade AI features.

Lead development and scaling of Jerry.ai's customer-facing AI agent platform. Own roadmap, prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation, quality, and customer satisfaction. Translate between engineering and business, partner with OpenAI on voice/workflow models, and establish platform standards for production-grade AI systems.

Lead development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define roadmap, prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction while partnering with engineering and OpenAI.

Lead consolidation and technical strategy for Jerry.ai's AI platform. Own prompt migration, chatbot prioritization, vendor relationships (e.g., OpenAI/ChatGPT), and platform architecture. Coordinate engineering, data, and operations, drive execution, evaluate emerging voice/computer capabilities, and ensure the platform remains reliable while evolving to support scalable, production-grade AI agent products.

Lead development and scaling of an AI agent platform integrating LLMs, agents, and internal APIs. Define roadmaps, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to improve automation, answer quality, and customer experience through experimentation and production deployments.

Lead end-to-end development and scaling of Jerry.ai's customer-facing Agentic AI platform. Define roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails, drive experimentation to improve automation rates and quality, and coordinate with partners (e.g., OpenAI) to deploy new model and voice capabilities.

Lead consolidation and strategic direction of Jerry.ai's AI platform, unifying prompt assets, prioritizing chatbot technical work, managing vendor relationships (e.g., OpenAI), and coordinating engineering, data, and operations to deliver scalable, production-grade agentic AI products and platform architecture.

Lead development and scaling of a customer-facing agentic AI platform using LLMs and agents. Define prompt strategies, evaluation frameworks, and guardrails; translate technical architecture to stakeholders; run experiments to improve automation, answer quality, and customer satisfaction; and partner with OpenAI on voice and workflow model integrations.

Lead end-to-end development and scaling of an agentic AI platform that automates customer sales and service. Define prompt strategies, evaluation frameworks, guardrails, and API/system architecture; partner with engineering and OpenAI; run experiments to improve automation rates, answer quality, and customer satisfaction; translate technical work across the organization.

Lead the end-to-end development and scaling of Jerry.ai's AI agent platform. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Drive experiments to improve answer quality, automation rates, and customer satisfaction. Serve as technical translator, establish AI best practices, and work with partners like OpenAI to deploy voice models and workflow automation.

Own and evolve Jerry.ai's AI platform: consolidate prompts from six locations onto a unified system, prioritize chatbot technical work, drive architecture and emerging-technology decisions (voice/computer use), manage the OpenAI relationship, and coordinate cross-functional teams to deliver scalable production-grade AI features while keeping current systems running.

Lead development and consolidation of Jerry.ai's AI agent platform, owning roadmap to rollout. Design prompt strategies, evaluation frameworks, guardrails, and API/system architecture. Partner with engineers and OpenAI to deploy voice and workflow automation, drive experiments to improve automation rates, accuracy, and customer satisfaction, and establish AI best practices across the org.

Lead strategy, development, and delivery of AI-powered products. Define product vision, prioritize features, and collaborate with engineering, stakeholders, and customers to build scalable solutions using GenAI, LLMs, agentic frameworks, AWS AI services, vector DBs, RAG, and prompt engineering while ensuring AI governance and agile delivery.

Build an internal AI developer platform that provisions agent configs, context tooling, eval harnesses, and rollout mechanics to make AI-assisted engineering the default. Integrate LLMs and third-party coding tools, enable self-serve agent creation, embed safety and audit controls, and measure impact on developer productivity.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

Design, develop, and deploy specialized AI agents and tool integrations to automate design and development workflows. Build interfaces (MCP/Function Calling), perform prompt engineering, enforce accessibility and quality standards, collaborate with product/design/engineering, and extract metrics from agentic workflows to improve UX and compliance.

Design and develop Generative AI platforms, ensuring scalability and integration of AI capabilities, while leading innovative projects and mentoring developers.