Top Tech Jobs & Startup Jobs in Toronto

Lead enterprise strategy, governance, and adoption for Zafin's AIOS platform across clients and internal teams. Chair governance, advise executives, set maturity roadmaps, ensure reusable agent and platform capability, and drive transfer to client-owned AI engineering.

Lead platform-wide architecture for Zafin's AI Operating System, define standards for agents, RAG, orchestration, integration, security, and governance; review squad architectures; create reusable reference architectures; mentor architects and engineers; advise executive stakeholders to ensure scalable, secure, and compliant AI implementations across client engagements.

Lead a shared AI operations function delivering agent configuration, evaluation, and knowledge support to client-facing squads. Manage capacity, demand forecasting, workload planning, service standards, and operational metrics. Drive adoption of shared AI assets, resolve cross-team dependencies, and continuously improve service quality. Coach and develop team members, establish intake/prioritization/escalation processes, and ensure reliable, scalable delivery of AI-enabled solutions across multiple client engagements.

Design, build, and maintain scalable batch and real-time data pipelines; model and optimize data warehouses; manage platforms (Spark, Snowflake, Kafka, Airflow, Kubernetes); implement data quality, observability, governance, and security; optimize performance and costs; and develop CI/CD and automation for data workflows.

Build and optimize local development environments using Cobra CLI and Kind. Develop CLI tools, manage local Kubernetes clusters, containerize deployments, automate deployments with Kustomize/Helm/Argo CD, support CI pipelines, perform fit-gap analysis, execute user stories, write technical documentation, and collaborate with product and delivery teams to streamline developer experience and cloud integration.

Drive product strategy, roadmap, and execution for platform capabilities. Translate customer and business needs into requirements, manage backlog, write user stories, collaborate with engineering, engage stakeholders and customers, analyze product performance, and support releases and adoption.

Serve as technical lead for SaaS onboarding and integrations: design and implement secure, scalable API- and event-driven integration architectures, perform hands-on development (Java/Spring Boot), automate delivery and testing with cloud-native tools, leverage AI-assisted tooling to speed delivery and troubleshooting, support operational tuning and monitoring, and mentor teams while influencing product and process improvements.