Top Tech Jobs & Startup Jobs in Toronto

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, and parameter-efficient fine-tuning. Own architecture, software development lifecycle, cloud infrastructure, governance, responsible AI guardrails, DevOps automation, testing, and deployment. Collaborate with cross-functional teams, translate business needs into technical requirements, conduct code reviews, and ensure reliable production systems using AWS, Azure, and Databricks.

Leads the design, development, and optimization of scalable data architectures, ETL pipelines, ingestion frameworks, data quality processes, governance practices, and audit systems. Partners with cross-functional teams to translate requirements into data solutions, analyzes data for business insights, communicates recommendations, and mentors Data Engineers. The role also serves as a technical authority and supports continuous improvement across data engineering practices.

Lead design and build scalable data architectures, ETL pipelines, ingestion and data quality frameworks. Collaborate with cross-functional teams, enforce data governance, analyze data for insights, mentor junior engineers, and serve as the technical authority on data engineering best practices.

Develop advanced statistical models and custom analyses to address client business challenges. Use R, Tableau, SAS, Visual Basic, Excel, and other analytic tools to guide decisions, create deliverables, and implement solutions. Communicate findings through presentations, manage client relationships, provide project updates, and mentor Associates while contributing to consulting engagements.

Conduct market and desk research, develop analyses using Excel, Access, Confirmit, and proprietary tools, and translate findings into client recommendations. Associates solve business problems, synthesize results, communicate insights, collaborate with client teams, and support solution implementation across multiple projects. The role requires strong quantitative and analytical skills, communication, organization, teamwork, adaptability, and a client-first mindset.

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, PEFT, guardrails, and cloud platforms. Own architecture, software development lifecycle, code quality, DevOps automation, governance, monitoring, and production reliability. Collaborate with cross-functional and client teams, translate business requirements into technical solutions, conduct code reviews, and provide guidance on software design and best practices.

The Senior Marketing Analytics Lead will oversee analytics projects, translate data into insights, influence marketing strategies, and mentor junior team members.

As a Strategy Insights & Planning Associate Consultant, you will leverage problem solving, conduct market research, and develop client relationships while mentoring team members. You will structure analyses, communicate results, and ensure project goals are met, while supporting ZS's capabilities.