Top AI Jobs in Toronto

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Manage inbound and outbound sales cycles for solo practitioners and small law firms. Responsibilities include prospecting, discovery calls, product demonstrations, negotiation, pipeline forecasting, Salesforce activity management, territory ownership, and cross-functional collaboration. The role focuses on selling Clio’s legal practice management software, developing customer relationships, and adapting sales strategies based on industry trends.

Drive new business development and close sales with law firms in an assigned territory. Responsibilities include prospecting, managing inbound and outbound opportunities, conducting discovery calls and product demonstrations, forecasting pipeline, using Salesforce, negotiating with decision-makers, and collaborating cross-functionally to meet customer needs. The role requires at least three years of sales experience, including closing, and one year of full-cycle SaaS sales experience.

Owns cross-functional strategy, business operations, financial analysis, AI workflow automation, and corporate development initiatives. Partners with executives on operating plans, market entry, pricing, unit economics, headcount, capital allocation, fundraising, and diligence. Builds and maintains AI-native systems, drives organizational adoption, manages reporting and processes, and supports vendor and partner relationships in a hybrid Toronto startup environment.

Provide high-judgment executive support to three leaders, including two co-founders. Manage calendars, communications, travel, logistics, expenses, relationship tracking, meeting preparation, and confidential information. Improve leadership operating systems, information flow, decision follow-through, and selected operational projects. The role requires exceptional prioritization, discretion, anticipation, organization, and the ability to use AI to increase leverage while supporting a frontier science and engineering organization.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Build and scale customer-facing iOS applications for OPENLANE’s wholesale vehicle marketplace. Responsibilities include designing Swift and SwiftUI features, leading iOS architecture and UIKit modernization, improving testing and release practices, managing cross-cutting concerns such as authentication and analytics, using AI development tools, mentoring engineers, and collaborating with Product, Android, backend, platform, and QA teams.

Build and scale customer-facing Android marketplace features for buyers and sellers. Develop Compose and legacy XML UI, write unit tests, participate in CI and code reviews, and collaborate with product, design, backend, platform, iOS, QA, and senior Android engineers. Use AI tools daily for coding, testing, debugging, refactoring, documentation, and reducing repetitive work while validating outputs and maintaining ownership of reliability and production quality.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Supports client delivery for AI-powered insurance solutions by facilitating discovery workshops, translating business needs into requirements and user stories, designing workflows, analyzing product performance, and leading testing and UAT. The role collaborates with engineering and product teams, identifies integrations and risks, validates AI outputs, and drives continuous improvement through analytical reporting and AI-assisted process optimization.

Build and deliver production backend, platform, and AI capabilities using C#/.NET and Python. Develop distributed systems, LLM applications, AI agents, retrieval workflows, MCP servers, document understanding, and scalable AI infrastructure. Provide hands-on Staff-level technical leadership through architecture, coding, technical direction, mentoring, deployment, reliability, safety controls, and production operations.

Own the full sales lifecycle for AI-powered scientific research products, from prospecting and discovery through demos, pilots, proposals, closing, onboarding, and expansion. Build relationships with researchers, R&D teams, laboratories, and research-intensive organizations. Translate complex technical capabilities into credible customer value, manage stakeholders, maintain pipeline and CRM systems, provide market feedback, and help establish a repeatable sales process.

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.

Design Engineering Interns support nuclear engineering projects through engineering calculations, analyses, minor design changes, maintenance and procurement activities, plant walk-downs, technical documentation, stakeholder coordination, and presentations. Interns may work with Mechanical Design or Electrical and Instrumentation & Control teams, contribute to innovation and research initiatives, and apply lessons learned to improve future design work.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Develop and support SimCorp Data Ingestion software within an agile engineering team. Design solutions, implement and test C#/.NET applications, improve test automation and quality engineering practices, apply AI-assisted development and testing, and support CI/CD, Azure cloud transformation, performance, scalability, observability, and production operations.

Conduct applied research in machine learning and generative AI for eBay’s selling organization. Develop causal pricing models, LLM-based selling agents, evaluation frameworks, lightweight distilled models, and marketplace feedback analyses. Translate research into reliable production systems, partnering with Product, Engineering, and Data teams. Own measurable business outcomes, contribute to research strategy, and mentor junior researchers.

Lead the architecture and hands-on delivery of end-to-end Azure data platforms, including ingestion, transformation, lakehouse modeling, analytics, APIs, and activation. Build batch and streaming pipelines with Microsoft Fabric, Azure Data Factory, Databricks, Python, PySpark, and SQL. Implement governance, security, CI/CD, MCP and agentic AI integrations, while troubleshooting production systems. Mentor engineers, advise client stakeholders, contribute to presales, and establish reusable engineering standards.

Leads the enterprise technology strategy and organization, overseeing infrastructure, cloud platforms, cybersecurity, enterprise applications, service delivery, vendors, technology risk, modernization, and AI enablement. The Vice President advises senior leadership, aligns technology investments with business objectives, improves reliability and user satisfaction, strengthens resilience and security, manages costs and partners, and develops a high-performing technology team.

Senior Legal Counsel will advise leadership and cross-functional teams on global commercial legal matters. Responsibilities include negotiating SaaS agreements, vendor contracts, NDAs, partnerships, and privacy terms; improving legal workflows; assessing contractual and regulatory risks; supporting RFPs, tenders, and M&A due diligence; and delivering compliance training. The role requires substantial SaaS, technology, data privacy, negotiation, and stakeholder-management experience.

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Leads AI solution architecture across pre-sales, client engagements, and production delivery. Defines scalable reference architectures, evaluates models and frameworks, governs security, data residency, hosting, integrations, cost, latency, and reliability, and mentors AI and data engineers. Remains hands-on with code, prototypes, design reviews, and technical client presentations while shaping proposals and protecting engagement profitability.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.