Top Tech Jobs & Startup Jobs in Toronto

Establishes and operates an ongoing AI optimization framework for strategic customer engagements. The role improves workflows, adoption, prompts, enablement materials, and agent performance using Copilot, usage data, and behavioral signals. Responsibilities include detecting agent drift, prioritizing high-ROI investments, facilitating kaizen improvement cycles, embedding standard work and ownership, and transferring the capability to customer teams. The position also leads multidisciplinary teams and manages multiple projects or portfolios.

Designs and delivers customer-facing AI transformation engagements, including strategy sessions, workshops, architecture design, and rapid prototypes. Leads solution architecture, discovery, strategic planning, cross-platform cloud integration, and technical sales collaboration. Advises customers on Azure AI technologies, application architecture, security, scalability, and performance while coordinating cross-functional teams. Builds technical expertise in Azure AI Foundry, Microsoft Fabric, agentic AI, DevOps automation, and emerging technology trends.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Own the full sales engagement cycle for AI-powered business process solutions, including opportunity identification, account planning, executive relationship development, solution demonstrations, value propositions, pipeline creation, contract renewals, and customer success planning. Partner with account executives, engineers, marketing teams, and channel partners to drive adoption of Dynamics 365, Power Platform, and Copilot, achieve revenue targets, and advise customers on business transformation.

Leads enterprise AI workforce transformation by redesigning operating models, business processes, employee roles, and human-agent collaboration. Designs and deploys AI agents, develops AI literacy and retraining programs, embeds adoption into performance and onboarding systems, and protects employee privacy. Directs readiness assessments, change programs, AI councils, champion networks, global training, stakeholder workshops, and adoption analytics to ensure sustained behavioral change across large organizations.

Design, develop, test, and maintain scalable distributed software and data movement services for Microsoft Fabric. Investigate issues using debugging, telemetry, logs, and monitoring; participate in root cause analysis, code reviews, design documentation, automated testing, and CI/CD. Collaborate with engineers, architects, product managers, designers, and partners to deliver secure, reliable, performant features and improve customer experiences.

Drive Azure adoption across telecommunications enterprise accounts in Central Canada. Build business cases, lead virtual sales and partner teams, influence CXO-level stakeholders, meet Azure consumption targets across Infrastructure, Data, and AI, and remove deployment roadblocks to deliver cloud transformation and customer satisfaction.

Lead technical pre-sales engagements for commercial customers to design and deploy secure, scalable cloud database and analytics solutions. Build PoCs, run hackathons and architecture workshops, resolve technical blockers, and partner with engineering to accelerate migrations to Microsoft Fabric, Azure Databases and analytics services. Represent Microsoft in community forums and help customers modernize data platforms, governance, and AI-enabled analytics workflows.