Top AI Jobs in Toronto

Leads operational oversight, performance analysis, governance, and continuous improvement for AI-powered products and platforms. Develops performance frameworks, executive dashboards, business insights, forecasts, and risk reporting. Partners with engineering, product, and operations teams to improve workflows, support automation, ensure compliance, and drive scalable AI operating models.

Drive end-to-end delivery of Autodesk’s Generative AI Accelerator, moving AI capabilities from research through production and adoption. Coordinate research, engineering, security, legal, product, and platform teams; manage plans, dependencies, risks, forecasting, reporting, and impediment resolution. Partner with executive stakeholders to shape strategy and sequencing, promote Agile and Lean practices, and support responsible use of AI automation. Requires technical fluency in AI/ML, cloud platforms, distributed systems, and software development lifecycles.

Tests and validates AI-powered products, machine learning models, and Generative AI applications. Designs test strategies, executes functional and regression testing, evaluates model outputs, identifies defects, analyzes quality metrics, documents results, verifies compliance, and collaborates with AI engineers and product managers to improve testing practices and release readiness.

Own the backend and agent systems powering LLM products, including multi-turn conversations, tool calling, RAG, state management, evaluations, monitoring, and production reliability. Diagnose failures across models, knowledge systems, tools, and infrastructure; establish regression testing and quality measurement; and guide product and technical decisions. The role requires shipping and improving LLM features at scale, strong backend engineering, disciplined evaluation practices, and preferably Web3 experience.

Build and ship full-stack features, integrations, and enterprise customizations for an open-source AI product. Work directly with technical partners and customers to support deployments, diagnose complex application and infrastructure issues, and convert deployment feedback into reusable product capabilities. Maintain customer-specific solutions, create documentation and runbooks, and collaborate with product and engineering teams on roadmap decisions. The role requires strong judgment, communication, and experience with AI-enabled applications and enterprise deployment environments.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Leads sales strategy and customer engagement for Genesys AI and Experience Orchestration solutions. Partners with account executives, senior clients, and cross-functional teams to develop pipeline, shape opportunities, run customer workshops, coordinate AI proofs of concept, and support positioning, proposals, pricing, and presentations. Acts as a subject matter expert, develops territory and account strategies, enables sales teams, and influences AI-powered customer experience adoption.

Architects and deploys AI agents, intelligent workflows, and enterprise integrations across business functions. Partners with stakeholders to identify AI opportunities, build ROI-focused business cases, and implement scalable solutions. Develops reusable frameworks, monitors workflow performance, leads training and enablement, builds an AI community of practice, and evangelizes agentic AI best practices. Requires extensive integration, automation, cloud, API, enterprise SaaS, LLM, RAG, and agent-framework experience.

Design, build, and scale an agentic voice AI framework for banking customers. Develop LLM guardrails, grounding, policy enforcement, evaluation, tool-calling, and runtime architecture. Optimize real-time voice latency, maintain production reliability, reduce configuration friction, and collaborate with distributed product and engineering teams. The role also requires strong technical judgment, proactive ownership, AI-assisted development, and leadership through direction-setting, unblocking, and mentorship.

Leads the design and development of cloud-native platforms supporting generative AI agents. Responsibilities include building backend services, developer enablement tools, CI/CD pipelines, Kubernetes and multi-cloud infrastructure, platform security, observability, DORA metrics, and production engineering practices. The role requires mentoring, architectural leadership, cross-functional collaboration, and expertise in cloud-native systems, networking, infrastructure as code, and systems programming.

Own end-to-end executive and specialized recruiting searches across CSC Generation’s portfolio. Source passive candidates through talent mapping, direct outreach, referrals, and LinkedIn; partner with executives to define roles and sourcing strategies; manage confidential searches; close difficult hires; maintain passive talent pipelines; and provide competitive talent market intelligence.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Generate and qualify technology sales opportunities through outbound outreach, inbound leads, referrals, events, and partnerships. Conduct business and technical discovery with executive and technical stakeholders, explain software and cloud capabilities, translate requirements into proposals and statements of work, and support pricing and client presentations. Collaborate with engineering, product, design, and leadership teams while maintaining CRM records and developing strategic partnerships.

Sources, qualifies, nurtures, and manages a pipeline of software acquisition opportunities for the M&A team. Responsibilities include researching target companies, conducting outreach to founders and executives, tracking deal flow in Salesforce, evaluating acquisition fit, collecting business and financial information, coordinating NDAs, and presenting qualified opportunities to senior leadership. The role also develops industry knowledge, builds executive relationships, and improves sourcing processes using technology and AI tools.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Build and own core components of an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, and evaluation tooling. Partner with Operations to translate workflows into agent capabilities, mentor teammates, and ship production-ready, scalable AI-native systems.

Build and ship AI-powered internal systems across investing, talent, founder services, finance, and operations. Projects include talent intelligence, sourcing and research tools, diligence workflows, firm knowledge search, operations automation, and reusable portfolio-company AI tools. The role requires end-to-end ownership, from identifying high-leverage problems and selecting the technical stack to building usable products, working with messy business data, and supporting portfolio founders with AI strategy and implementation.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Oversee accounting, financial reporting, controls, audits, forecasting, and strategic finance for a portfolio of software companies. Own close processes, financial statements, IFRS 15 assessments, balance sheet integrity, and audit coordination. Partner with business leaders on pricing, profitability, working capital, and investments. Manage and develop a small finance team, improve processes through automation and AI, and support acquisitions, financial integrations, and ERP implementations.

Supports financial reporting, month-end and year-end close, reconciliations, IFRS 15 accounting, audits, forecasting, KPI analysis, profitability analysis, and working capital management across multiple software business units. The role improves finance processes using automation and AI, supports acquisitions and finance-system integrations, mentors junior colleagues, and partners with business leaders. It offers progression toward finance management.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.