Top AI Jobs in Toronto

The Lead Data AI Architect leads the design and implementation of secure data and AI architectures, guiding teams on best practices and managing compliance with business strategies and technical standards.

Business Development Manager responsible for expanding AI consulting services across North America. The role sources and qualifies prospects, builds pipelines, conducts outbound outreach, coordinates discovery, negotiates with clients, and closes new business with leadership support. Candidates need 5+ years of sales or business development experience in consulting or technology services, strong independent prospecting skills, and willingness to travel approximately 40% for events and client meetings.

Lead discovery and design of agentic AI solutions, translate business problems into production-grade architectures, deploy and scale systems on AltaForge, define evaluation standards, ensure secure and auditable workflows, and support account growth and measurable ROI.

Drive architecture and implementation of an internal AI/agent platform: design agent runtimes and SDKs, define eval-driven release gates, safety, telemetry, and AuthX, partner with product teams to integrate reusable capabilities, set standards for prompt management and observability, write and ship production code, and mentor engineers.

Lead architecture and delivery of an internal AI/agent platform used across product teams. Design agent runtimes and SDKs, define release gates (evals, safety, telemetry, AuthX), set standards for prompt management and model selection, partner with product teams to integrate reusable platform capabilities, write and ship production code, and mentor engineers to raise company-wide production quality for agentic systems.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Build and run demand-gen programs using paid acquisition (LinkedIn, X, Meta, Google), technical SEO, landing pages, email/ABM, and AI agents. Instrument and analyze campaigns, run experiments to convert interest into pipeline, and automate workflows using Claude and ChatGPT tools.

The Senior IT Business Analyst will collaborate with various teams for project scoping, manage documentation, participate in agile processes, and communicate project progress. Key responsibilities include defining requirements for AI product development and facilitating agile ceremonies.

Hunter-oriented sales role to source, qualify, and close consulting and technology-services opportunities across North America. Build and manage pipeline, conduct outbound prospecting, coordinate discovery calls, partner with leadership on negotiations, and attend industry events. Travel expected ~40%.

Hunt and develop new AI consulting opportunities across North America. Source, qualify, and manage pipeline, conduct outreach and discovery, partner with leadership to close deals, and travel for client meetings (approx. 40%).

Hunter-oriented BDM responsible for sourcing and qualifying new enterprise and mid-market opportunities across North America, building pipelines, outbound prospecting, coordinating discovery, partnering with leadership to close deals, and attending events (travel ~40%). Focus on selling consulting and technology services.

Serve as the Finance-focused functional expert enabling GSI and ecosystem partners on Workday Financials and agentic AI. Develop playbooks, translate roadmap into outcomes, support partner positioning, demos, competitive messaging, and regulatory/risk considerations for finance AI use cases. Collaborate with solution architecture, solution consulting, and partner teams to ensure partner readiness, demo fidelity, and go-to-market success.

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.

Lead enterprise governance for Wealth's registered plans and AI governance, overseeing tax compliance, regulatory exams, privacy assessments, and remediation. Modernize processes and controls, provide senior tax and regulatory expertise (FATCA, CRS, Qualified Intermediary), partner with technology for safe AI adoption, and influence senior stakeholders to drive risk mitigation, stakeholder alignment, and sustainable execution.

Design and deploy autonomous AI agents and multi-agent systems to automate clinical trial data cleaning, validation, and analysis. Build agentic workflows, ensure GxP-compliant traceability, deploy on AWS with containerized CI/CD pipelines, integrate vector databases and RAG, and create HITL processes with Data Integrity and Quality teams to meet regulatory requirements.

The Program Manager, AI Activation oversees AI initiatives, ensuring effective governance, financial tracking, and delivery excellence while managing Project Managers.

Design, develop, and deploy production-grade Agentic AI systems, AI platforms, harnesses, and LLM applications for Capital Markets. Build multi-agent architectures, RAG and tool-calling workflows, evaluation frameworks, inference pipelines, and reusable AI services. Architect cloud-native solutions using microservices, APIs, containers, and distributed computing. Implement AI governance, security, observability, monitoring, and Responsible AI practices while partnering with stakeholders on AI strategy and enterprise adoption.

Designs enterprise-grade AI/ML platforms and architectures for agentic systems, RAG pipelines, and multimodal applications. Establishes GenAI infrastructure standards, governance, security, compliance, observability, and cost optimization practices. Evaluates AI technologies and vendors, creates reference architectures, and partners with product and engineering teams to deliver scalable cloud-native solutions across AWS and Azure.

Build and scale AI-powered design frameworks and adaptive UI components for Autodesk’s platform. Architect reusable, agent-assisted user experiences, establish processes that accelerate prototypes into production, and collaborate with engineering, product, architecture, and design stakeholders. The role also coaches designers in AI-augmented development, troubleshoots implementation challenges, and promotes scalable standards, accessibility, performance, testing, and modern frontend practices.

Design, develop, and deploy Java and Spring Boot backend applications using MongoDB. Build and integrate AI agents with Google ADK and apply prompt engineering techniques to large language model solutions. Support feasibility studies, estimation, planning, testing, implementation, security, compliance, and business-user operations. Serve as an application development subject matter expert while managing projects independently and advising senior stakeholders.

Design, build, and maintain scalable AI agents and enterprise-grade ELT/ETL pipelines using Python, PySpark, Databricks, and microservices. Deploy and integrate LLMs and agentic AI (Google ADK, Devin.AI, MCP), ensure data quality, security, and CI/CD-driven cloud-native operations, and drive data federation and Data Mesh solutions.

Develop and deliver AI-enabled software products, including MLOps platforms, workflow orchestrators, APIs, services, and user interfaces. Integrate AI solutions with insurance systems, collaborate with data scientists and IT teams, and ensure scalable, reliable, observable deployments. Apply CI/CD, agile practices, automated testing, cloud infrastructure, GenAI techniques, and data engineering. Mentor squad members, influence the technical roadmap, and help evolve AI and machine learning capabilities.

Own the partner-facing product backlog for an AI-first payment gateway migration. Translate commercial and technical partner needs into requirements, user stories, API specifications, acceptance criteria, and delivery plans. Collaborate closely with Engineering, Product, Risk, Commercial, and Partner Success to prioritize, validate, launch, and iterate payment features. Lead pilots, UAT, migration cutovers, stakeholder communication, and partner discovery. Apply AI tools throughout requirements, prototyping, testing, documentation, and software delivery.

Own the strategy, qualification frameworks, routing logic, handoffs, governance, and performance optimization for AI-assisted xDR capabilities. Lead cross-functional alignment across Marketing, Sales, xDR, Revenue Operations, and Sales Operations. Translate business requirements into workflow specifications, guide implementation across GTM platforms, measure funnel outcomes, and optimize AI-to-human engagement, routing, and pipeline progression.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, connect systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish responsible AI guardrails, enable adoption, and measure time savings and efficiency gains.