Top AI Jobs in Toronto

Lead enterprise Data, AI, and Generative AI architecture from concept through production. Design scalable, secure cloud-native platforms, AI/ML deployment and governance capabilities, and reusable architecture patterns. Partner with engineering, data, security, product, and business teams to guide complex initiatives, assess technologies, manage risks, and establish standards. Mentor architects and technical leaders while influencing strategic technology decisions across teams.

Designs and leads enterprise AI systems for legal research, including RAG pipelines, knowledge graphs, autonomous agents, and AI platforms. Provides technical strategy, architecture, mentoring, governance, testing, observability, and operational leadership. Partners with research, engineering, design, and product teams to launch scalable, secure AI products. Requires hands-on software engineering expertise in generative AI, cloud-native systems, APIs, distributed systems, and production AI deployments.

Research technology trends in artificial intelligence, including Embodied AI, Spatial AI, Agentic AI, Physical AI, and Reinforcement Learning. Produce technical insight reports, monitor project status, summarize academic and policy developments, and support strategic decision-making. The role also coordinates events, workshops, meetings, budgets, documentation, translations, and communication for research teams and directors.

Develop and deploy AI, Copilot, Power Platform, and intelligent automation solutions across the Buildings business. Identify transformation opportunities, build AI agents and workflows, integrate Microsoft platforms, deliver training, support adoption, establish governance, and measure productivity, efficiency, usage, and ROI. Collaborate with technical and business stakeholders to scale practical, secure, and responsible digital solutions.

Leads the end-to-end development and deployment of AI/ML models for enterprise financial reconciliation and data engineering. Designs Agentic AI and Generative AI solutions, analyzes structured and unstructured financial data, defines model roadmaps, and integrates models into production. Partners with engineering and business teams on scalability, risk mitigation, documentation, and adoption while translating complex findings into visualizations and strategic recommendations for senior leaders.

Build and maintain golden datasets and automated evaluation pipelines to audit multi-agent LLM behavior. Trace trajectories, tune prompts and function-calling, optimize tool integrations (APIs, RPA), monitor production drift and hallucinations, and implement guardrails and RAG pipelines to ensure reliable autonomous workflows.

Lead GitLab’s talent brand strategy and employer value proposition across the candidate journey. Develop integrated recruitment marketing campaigns, editorial content, recruiter resources, events, and scalable content systems. Partner with Talent Acquisition, Marketing, Communications, and business leaders to support hiring priorities and improve candidate experiences. Use performance data, audience insights, feedback, and market trends to evaluate campaigns, guide priorities, and increase candidate engagement and conversion.

The Talent Brand Manager will shape GitLab’s employer brand through recruitment marketing, storytelling, campaigns, and candidate education. Responsibilities include translating the employer value proposition into messaging, creating cross-channel campaigns and team-member stories, improving candidate journey touchpoints, analyzing funnel and engagement metrics, and partnering with Talent Acquisition and cross-functional stakeholders. The role also manages projects and external partners while improving talent brand processes, reporting, and operations in a fully remote environment.

Legal Counsel will draft and negotiate complex commercial, technology, SaaS, privacy, and partnership agreements while supporting corporate governance, subsidiary management, intercompany matters, and strategic transactions. The role requires independently managing sophisticated legal issues, balancing risk with business objectives, advising stakeholders, and contributing to legal process improvement and emerging technology initiatives.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Develops next-generation AI, machine learning, generative AI, and agentic AI solutions for engineering workflows. Responsibilities include researching techniques, evaluating approaches, building and validating production-ready applications, APIs, services, and data pipelines, and transitioning solutions to internal customers. The role also evaluates emerging technologies, supports R&D programs, coordinates innovation projects, analyzes engineering results, and collaborates with engineering teams, universities, suppliers, and strategic partners.

Leads the transformation of Sophos’s pricing operations by building a centralized function, establishing governance and segment-based pricing cadences, and developing AI-assisted competitive and discount analysis. The role builds a new team, partners with Network Security, provides leadership with market intelligence, and tracks pricing performance metrics. Candidates need experience transforming pricing, revenue operations, or deal desk functions in B2B SaaS or technology businesses, along with strong change-management and people-leadership skills.

Drive strategic growth across a portfolio of enterprise accounts by developing executive relationships, identifying new business, and managing complex sales cycles. Apply consultative-selling methods to align SUSE’s Linux, Kubernetes, cloud, edge, AI, and security solutions with customer needs. Responsibilities include pipeline and forecast management, upselling, cross-selling, account planning, partner collaboration, and closing high-value opportunities. Success is measured by revenue growth, customer satisfaction, market share, and long-term customer value.

Own the vision, roadmap, and execution of Clio’s accounting integrations, including QuickBooks Online and Xero. Define integration requirements, ensure accurate and compliant financial data flows, and collaborate with Design, Engineering, Data, Billing, Payments, GTM, and Compliance teams. Build relationships with legal-sector finance stakeholders, translate complex accounting workflows into simple product experiences, drive adoption, and measure customer and business impact.

Own the roadmap for Occupancy Planning and Management and Sustainability products. Govern third-party platforms, manage vendor roadmaps, define integrations, and develop AI-powered workflow capabilities. Lead discovery with clients and business teams, write technical requirements, build AI prototypes, define KPIs, and align data, engineering, product, and stakeholder teams. The role requires enterprise B2B SaaS product management, technical fluency in APIs and cloud data platforms, vendor governance, and hands-on AI product development.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.

Leads technology strategy and delivery for web, mobile, e-commerce, and AI-enabled customer experience solutions. Advises clients on architecture, technology stacks, build-versus-buy decisions, and digital transformation while overseeing engineers, delivery squads, vendors, risks, and business growth. Provides thought leadership, mentors multidisciplinary teams, and promotes efficient, secure, scalable, high-performing software delivery through modern AI-enabled practices.

Define enterprise architecture strategies and transformation roadmaps across AI, data, cloud, and digital technologies. Design scalable AI/GenAI, data, and cloud architectures; establish standards and governance; advise C-suite stakeholders; lead modernization and transformation programs; support consulting proposals and account growth; and mentor architects and technical teams.

Own the vision, strategy, roadmap, delivery, adoption, and business outcomes for AI-enabled products supporting Capital Markets workflows. Lead discovery, experimentation, investment decisions, stakeholder alignment, success measurement, and executive governance. Translate front-office needs into product opportunities while partnering with engineering, data science, UX, risk, compliance, privacy, security, and model-risk teams. Ensure responsible AI and regulatory considerations throughout the product lifecycle.

Lead Cloudbeds’ Customer Recovery team, overseeing retention workflows, risk triage, executive escalations, and cross-functional Fire-Team interventions for at-risk B2B SaaS hospitality accounts. Coach and develop Recovery Coaches, forecast retention, drive proactive save motions, and convert customer-risk insights into product and process improvements. Partner with Product, Engineering, Support, Sales, and CS Operations while implementing AI-driven tooling, automated risk detection, and Salesforce reporting.

Designs, builds, secures, and operates governed agentic AI capabilities for security engineering. Develops AI workflows, applications, integrations, retrieval patterns, and automation using Python, APIs, CI/CD, containers, and enterprise platforms. Defines agent controls, permissions, approvals, auditability, rollback, and emergency stops. Applies secure SDLC practices, implements operational telemetry, and partners with security, governance, architecture, platform, and operations teams to productionize validated solutions.

Build and support secure full-stack web applications, internal tools, APIs, data pipelines, and database schemas. Develop AI agents and LLM-powered solutions using Agentic AI, RAG, tool calling, guardrails, and Microsoft Foundry. Deploy machine learning models for predictive analytics, implement automated testing and CI/CD, resolve application and data issues, and modernize legacy systems. Collaborate with technical teams and business stakeholders to deliver scalable information and decision-support solutions.

Build and ship production AI systems for enterprise portfolio and planning workflows. Develop anomaly and signal detection, LLM-powered insight synthesis, natural-language planning rule translation, evaluation frameworks, and MCP tools. Partner with external AI providers initially, then establish internal standards for prompt design, model selection, agent architecture, reliability, and evaluation. Collaborate closely with product, design, and domain engineering teams.

Develop and evaluate computer vision and machine learning solutions using production image datasets from autonomous retail robots. Projects may involve object detection, OCR, barcode decoding, segmentation, dataset curation, model evaluation, and error analysis. Interns will build experimentation and production tools, write maintainable Python code, collaborate with technical teams, communicate results, and present their project at the end of the program.

Leads D2L’s global public relations and communications strategy, including media relations, executive communications, crisis management, awards, reputation, and thought leadership. Advises senior leaders, manages agencies and budgets, builds media relationships, oversees a high-performing team, and integrates AI into communications research, content development, monitoring, and analytics. The role also drives major announcements, speaking engagements, measurable brand outcomes, and integrated communications programs across global markets.