- 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
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