Top AI Jobs in Toronto

Leads organization-wide AI search and SEO enablement, developing GEO processes, digital PR, thought leadership, influencer, affiliate, and content strategies. Partners with Brand, Communications, Social, Influencer Marketing, and business teams to improve AI-powered discoverability, brand reputation, consumer trust, and category authority. Builds measurement frameworks tracking sentiment, share of voice, source authority, AI citations, content freshness, risk indicators, and brand mentions. Supports crisis communications and reputational risk management in a regulated environment.

Leads discovery and requirements gathering for enterprise contact center transformations. Designs, configures, prototypes, and validates Genesys Cloud AI solutions, including knowledge management, agent assistance, summarization, and virtual agents. Evaluates integrations, platform limitations, licensing, implementation costs, and operational requirements, then presents evidence-based recommendations to business and technical stakeholders.

Owns enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and measurable value. Translates customer workflows into product requirements, deployment roadmaps, and technical solutions while partnering with engineering, sales, finance, legal, security, and customer success. Evaluates AI-specific considerations, business cases, risks, and product opportunities, then converts recurring customer needs into scalable capabilities and operating playbooks.

Leads ICUC’s company-wide AI and automation strategy across social media services, including community management, insights, monitoring, and social listening. Builds a scalable automation blueprint, evaluates tools, develops impact reporting, and drives adoption across delivery, operations, marketing, growth, and client success. Establishes the function, influences executive strategy, shapes market positioning, and promotes an AI-enabled, human-powered operating model.

Lead end-to-end design strategy for StackAdapt’s AI experience, including generative interfaces, trust-building interactions, AI evaluation, and complex data-rich workflows. Collaborate with Product, Engineering, Research, Revenue, Client Services, and Leadership to deliver scalable experiences, establish design frameworks, connect decisions to business outcomes, and mentor designers. The role requires strong interaction design, prototyping, information architecture, AI product experience, strategic thinking, and cross-functional communication.

Provides global technical leadership for Sophos’s MSSP program and AI security solutions. Leads solution design, architecture workshops, demonstrations, proofs of value, partner enablement, and technical evaluations. Advises MSSP partners on managed security service architecture, integrations, automation, and operational readiness while building AI security labs and attack simulations. Engages customers, partners, and internal teams across regions, mentors technical stakeholders, contributes market insights, and represents Sophos in industry forums. Travel of up to 50% is required.

Leads enterprise investment and executive communications strategy, including Fund positioning, CEO speeches, thought leadership, Board materials, major announcements, and external stakeholder engagement. Partners with investment leaders to translate complex financial topics for external audiences, directs cross-functional teams and agencies, coaches communications professionals, manages vendors and budgets, and upholds quality, reputation, and measurement standards.

Build and optimize AI agents, LLM prompt-engineering tools, and AI-driven production products. Contribute to the technical and product roadmap with a founder-like ownership mindset, collaborate directly with customers and teammates, and ship high-impact features rapidly. The role requires strong software engineering, product judgment, code quality opinions, and adaptability in an early-stage startup. React experience is a plus, with TensorFlow, PyTorch, OpenAI API, design, and early-stage startup experience as bonuses.

Manage and expand distributor, reseller, and systems integrator partnerships across Eastern Canada. Develop strategic account plans, drive partner pipeline and revenue, oversee forecasting and account mapping, enable partners, coordinate virtual marketing, sales, and technical teams, and serve as the liaison between channel partners and Trellix sales leadership. The role focuses on enterprise, commercial, and government segments and requires cybersecurity marketplace knowledge and channel sales experience.

Review quarterly investor reporting, US GAAP financial statements, NAV packs, fund performance metrics, capital activity, liquidity, and forecasts. Coordinate service providers, auditors, and control documentation; analyze complex accounting treatments and fund structures; present significant transactions to senior management; improve finance processes using AI and emerging technologies; and manage and develop staff.

Own the full sales cycle for value accounts across North America, including outbound prospecting, lead qualification, technical discovery, virtual product demonstrations, quoting, negotiation, closing, account expansion, forecasting, and CRM management. Translate robotics and AI vision solutions into customer value, collaborate with marketing, engineering, applications, product, and customer success teams, and meet pipeline and revenue targets.

Manage a high-volume portfolio of very small business customers and inbound prospects through the full sales cycle. Conduct discovery, demonstrations, proposals, negotiations, and closing while meeting revenue and activity targets. Identify expansion opportunities, maintain accurate Salesforce pipelines and forecasts, guide customers through adoption, and partner with Solutions Engineering, Customer Success, Legal, Onboarding, Product, Marketing, and Operations teams. Provide customer feedback and explain technical security concepts to nontechnical stakeholders.

Serve as MedMe's first in-house counsel for Canadian and US operations. Lead commercial contract review and negotiation, corporate governance, cross-border legal matters, privacy and AI risk, employment law support, and healthcare-related compliance. Build scalable legal playbooks, templates, and triage processes while coordinating with outside counsel when needed. Partner with business and People & Culture teams to translate legal risks into practical guidance.

Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.

Architects and ships production AI agent systems, including multi-component pipelines, tool integrations, orchestration infrastructure, observability, evaluations, and reliability practices. The role owns complex systems end-to-end, contributes to technical architecture and progressive delivery, collaborates across product and engineering, and mentors engineers. It requires strong backend, distributed systems, cloud infrastructure, LLM, and agentic development experience.

Lead discovery, strategy, roadmap, requirements, backlog prioritization, stakeholder communication, testing, and post-launch optimization for AI-enabled People Services products. Partner with HR, technology, architecture, cybersecurity, privacy, legal, compliance, risk, and governance teams to deliver scalable, secure colleague experiences. Use research, analytics, adoption, quality, and operational data to guide product decisions and enterprise AI improvements.

Supports FANUC robot applications integrating physical AI platforms, motion planning, simulation, camera sensors, digital twins, and related hardware and software. Responsibilities include coding, testing, troubleshooting, demonstrations, configuration, technical customer support, supplier evaluation, project coordination, and software release trials. The role collaborates with customers, integrators, sales, service, and project teams, with occasional travel to customer and integrator sites.

Design, build, and deploy enterprise-scale agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and research emerging autonomous AI technologies. The role emphasizes rapid MVP delivery, production reliability, security, and scalable architectures. It also requires cross-functional collaboration, technical mentorship, and alignment with regulated financial-services requirements.

Lead technical strategy and pre-sales engagement for major financial services and insurance accounts. Guide enterprise customers through data and AI transformation, drive Databricks adoption, build technical champions, present solutions to executives, and coordinate sales and technical teams. Apply expertise in big data, data science, cloud platforms, machine learning, and production programming to deliver business outcomes across large global accounts.

Partners with business functions to advise on and build AI-powered solutions using Microsoft Copilot Studio, Claude, and low-code platforms. Translates requirements into solution designs, manages testing and deployment, develops reusable prompts and agents, evaluates proofs of concept, and supports AI adoption. Ensures solutions meet security, privacy, regulatory, and responsible AI requirements while collaborating with enterprise AI and learning teams.

Analyze full-funnel B2B marketing performance using dashboards, SQL, attribution modeling, and CRM data. Build Tableau or Looker Studio reporting, query Redshift data, and apply Python, AI APIs, prompt engineering, and automation to streamline data processing and performance summaries. Partner with campaign, web, and sales operations teams to improve tagging, KPI consistency, lead velocity, and conversion insights.

Lead and grow McCain's Forward Deployed Engineering (FDE) practice for Manufacturing within the Yellow AI portfolio. Manage hiring, assignments, performance, and development of senior FDEs; set standards, playbooks, and practices; personally lead select AI engagements; partner with platform, engineering, governance, and business leaders to drive adoption, measurable impact, and compliant, responsible AI deployments. Provide executive representation and resolve resource conflicts while embedding with teams for coaching and execution.

Designs, builds, governs, and supports AI-powered copilots, agents, automations, analytics, scripts, and low-code solutions for workplace technology services. The role analyzes business processes, develops secure integrations, applies responsible AI and governance controls, performs testing and monitoring, creates documentation, and supports adoption. It also provides targeted workplace technology support, incident management, and operational continuity using ITIL practices.

Design and lead enterprise AI systems using generative AI, RAG, knowledge graphs, and autonomous agents. Define technical strategy, evaluate emerging AI technologies, and guide architecture and roadmaps. Mentor engineers, champion MLOps and LLMOps governance, and ensure security, testing, monitoring, and observability. Collaborate with research, engineering, design, and product teams to deliver scalable customer-facing solutions while optimizing latency, cost, and user experience.

Leads client-facing AI presales engagements, discovery workshops, strategic advisory discussions, solution architecture, roadmaps, governance, estimates, proposals, and Statements of Work. Evaluates Microsoft and adjacent AI platforms, aligns solutions with business outcomes, supports pricing and opportunity progression, and transitions pursuits to delivery. Also develops reusable methodologies, service offerings, thought leadership, and enablement materials while advising leaders on AI transformation, automation, agents, knowledge management, and operating models.