26 Oct
|
Virtusa
|
Toronto
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.
📌 AI Solution Architect (Toronto)
🏢 Virtusa
📍 Toronto