Top Tech Jobs & Startup Jobs in Toronto

Design, develop, and deliver analytical data products using advanced analytics, statistical modeling, AI/ML, and data mining. Collaborate with stakeholders and data engineers to prepare data, build predictive and prescriptive models, and create dashboards/visualizations to drive business decisions.

Lead enterprise-scale digital health transformation projects across British Columbia, managing legacy-to-modern transitions, governance, stakeholder engagement, vendors, operational readiness, data migration/archiving, IAM, and change management to deliver secure, compliant healthcare technology programs.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.

Lead QA for an Agentic AI platform: define and execute testing strategy, implement automation, validate LLM outputs and conversational workflows, oversee functional/integration/regression/performance testing, integrate CI/CD, mentor QA engineers, and promote quality best practices across teams.

Design, develop, and maintain scalable Python applications and services. Build and integrate RESTful APIs, work with relational and non-relational databases, implement microservices, perform unit testing, optimize performance, participate in code reviews, and support deployments using cloud platforms, containerization, and CI/CD in an Agile environment.

Design, develop, and support scalable enterprise web applications using the Microsoft stack. Build RESTful APIs, optimize SQL Server databases, implement microservices, ensure code quality through unit testing and CI/CD, collaborate with cross-functional teams, troubleshoot production issues, and follow Agile SDLC and DevOps practices.

Lead development and modernization of records classification, retention schedules, and taxonomies. Analyze business processes to identify records lifecycle requirements, translate regulatory requirements into business rules, produce governance documentation, and support digital records modernization and migration. Collaborate with Legal, Privacy, Audit, Risk, Business, and IT to mitigate recordkeeping risks and implement metadata-driven controls.

Lead end-to-end onboarding and implementation of eReferral and eOrder digital health solutions across BC clinics. Manage scope, schedule, budget, risks, stakeholders, and project documentation. Serve as primary site contact, provide status updates, escalate and resolve issues, and support Agile and Waterfall deployments concurrently.

Lead strategy, development, and delivery of AI-powered products. Define product vision, prioritize features, and collaborate with engineering, stakeholders, and customers to build scalable solutions using GenAI, LLMs, agentic frameworks, AWS AI services, vector DBs, RAG, and prompt engineering while ensuring AI governance and agile delivery.