Top AI Jobs in Toronto

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

Design, build, and operate scalable search and streaming services on AWS. Own components end-to-end, improve performance and resiliency, troubleshoot production incidents, contribute to architecture, mentor engineers, and drive automation including AI-assisted development tools.

Build and deploy backend platforms and sophisticated risk algorithms using Python and GenAI. Implement prompt engineering and RAG, deliver production-ready, unit-tested software on Kubernetes, collaborate cross-functionally, drive engineering best practices, and ensure compliance and risk-aware decision making.

Lead architecture and implementation of an Identity Security Fabric for AI agents. Build scalable backend services, integrate complex APIs, enforce auth and least-privilege for agent access, drive AI-native engineering practices, improve CI/CD/observability, and mentor engineers while partnering with product and design to deliver enterprise-grade identity governance and protection features.

Embed inside a functional team to identify, prioritize, and operationalize AI and data science use cases. Build ROI-driven business cases, translate between stakeholders and technical teams, drive adoption, track KPIs, and share learnings across the AI & Data Science group.

Lead the product strategy and roadmap for a cloud-native, AI-driven security operations platform that unifies video, access control, and communications. Own full product lifecycle: customer research, requirements, prioritization, and cross-functional delivery with engineering, AI, and UX teams to ship agentic AI features that automate incident response and simplify B2B SOC workflows.

Lead communications for TD's AI business: develop and deliver internal and external storytelling, media relations, executive counsel, and thought leadership. Translate complex AI topics into clear messages, manage agencies, measure impact, and handle reputational risk in a fast-moving, matrixed environment.

Lead design and delivery of LLM-powered agent and retrieval systems: build backend retrieval pipelines, orchestration and evaluation frameworks, optimize ranking and latency, integrate vector DBs and cloud infrastructure, collaborate with product and data teams, and drive production readiness for search and agentic workflows.

Design, build, deploy, and monitor production-grade AI and ML solutions (including GenAI/LLM applications) for Long-Term Care. Collaborate with cross-functional teams to operationalize models, implement MLOps/LLMOps pipelines, ensure governance/compliance, and improve observability, scalability, and cost efficiency. Mentor junior staff.

Lead user-centered AI-first product design for client projects: run discovery, create flows, wireframes, prototypes and assets, mentor teammates, drive cross-disciplinary collaboration, and present to stakeholders to align product strategy and delivery.

Lead Global Operations AI strategy and delivery across 14 countries: set AI targets, prioritize product and platform roadmaps, drive pilots to scale, ensure production readiness, govern models responsibly, measure outcomes, and build a high-performing team to achieve measurable operational impact.

Lead global coordination and execution of AI governance and model risk management across 14 countries. Enable first-line model owners on MRM obligations, manage responsible AI governance reviews, translate regulatory requirements, track targets and benefits, support people strategy and reskilling, produce executive reporting and dashboards, leverage AI-augmented delivery, and drive continuous process improvements.

Design, develop, and productionize AI/ML features and infrastructure. Implement and optimize models, build APIs and microservices, monitor and tune performance, mentor engineers, and support full lifecycle deployment and A/B testing.

Design, build, and maintain scalable full-stack web applications using Python, .NET and modern frontend frameworks. Develop REST APIs, integrate AI/ML or LLM capabilities, work with relational/NoSQL databases, deploy to cloud environments, optimize performance, and ensure security and quality through testing, code reviews, and collaboration with cross-functional teams.

Lead frontend-focused development of Pebl's conversational AI assistant, designing and building UX for streaming responses, agentic workflows, prompt/tool integrations, and resilient failure recovery. Own frontend and supporting backend contracts, mentor engineers, prototype new interaction patterns, and troubleshoot production AI-specific issues.

Lead design and delivery of large-scale backend platform services for AI-driven workflows. Drive architecture, cross-team initiatives, reliability, observability, and operational excellence. Mentor engineers and raise engineering standards to improve developer productivity, performance, resilience, and cost efficiency across the platform.

Build and operate scalable backend services and APIs for an AI-powered developer platform. Own architecture, end-to-end delivery, performance tuning, observability, and mentoring of engineers while collaborating with product and cross-functional teams.

Work with account executives to run technical discovery, design demos, execute POCs, configure accounting workflows and AI systems, scope implementations, build integrations, and provide ongoing support and maintenance.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

Lead AI and data industry research, publications, and open-innovation ecosystems. Build strategic partnerships with academia, startups, and government. Advise the Chief AI and Data Officer, drive thought leadership, ensure responsible AI governance, manage strategic initiatives, and shepherd analytics, change management, and cross-enterprise collaboration to scale AI solutions.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Short-term contractor to create and evaluate realistic enterprise B2B sales scenarios for AI training. Tasks include designing prospecting, discovery, qualification, negotiation, forecasting, and deal-closure exercises; assessing account plans, multi-stakeholder strategies, pipeline quality, and commercial recommendations; applying formal sales methodologies and evaluation rubrics; participating in calibration and quality-review cycles.

Own B2B technical content and organic distribution across SEO, AI search, and LinkedIn. Write authoritative pillar pages, optimize content for traditional and generative search, ghostwrite executive thought leadership, repurpose technical guides into social assets, maintain brand voice, collaborate with technical teams, and analyze rankings and AI citations. The role requires deep technical writing, basic Airtable knowledge, relational database understanding, and familiarity with SEO, GEO, analytics, and marketing tools.

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.

Lead strategy and architecture for GTM and finance systems (Salesforce, NetSuite, Data360/Snowflake, Agentforce). Manage a Salesforce admin, design and operate autonomous Agentforce agents, ensure data governance and a unified customer profile, oversee API integrations and migrations, and build testing and release processes to maintain system integrity and compliance.