AI Solution Architect

Virtusa; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

Virtusa in Toronto is seeking an AI/ML specialist to own the full AI lifecycle—from data ingestion and preparation to model training, evaluation and production deployment. You’ll engineer data pipelines and APIs to integrate AI into enterprise systems while ensuring secure, scalable, and governance-compliant solutions.

You will build automated evaluation loops for model quality and bias, quantify ROI, and embed transparency, audit trails, and data lineage in every solution, partnering with risk

Responsibilities

• Own the full AI lifecycle — from data ingestion and preparation through model training, evaluation, and production deployment.
• Engineer data pipelines, APIs, and orchestration layers to integrate AI solutions with enterprise systems.
• Ensure solutions are secure, scalable, and compliant with client IT and governance policies.
• Build automated evaluation loops for model quality, bias detection, and performance monitoring.
• Quantify ROI and business value post-deployment and feed learnings back into reusable frameworks and blueprints.
• Embed transparency, explain ability, audit trails, and data-lineage tracking in every solution.
• Partner with client risk and compliance teams to ensure adherence to Responsible AI principles.

Job description

• Own the full AI lifecycle — from data ingestion and preparation through model training, evaluation, and production deployment.
• Engineer data pipelines, APIs, and orchestration layers to integrate AI solutions with enterprise systems.
• Ensure solutions are secure, scalable, and compliant with client IT and governance policies.
• Build automated evaluation loops for model quality, bias detection, and performance monitoring.
• Quantify ROI and business value post-deployment and feed learnings back into reusable frameworks and blueprints.
• Embed transparency, explain ability, audit trails, and data-lineage tracking in every solution.
• Partner with client risk and compliance teams to ensure adherence to Responsible AI principles.