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Hybrid Onsite - AI Solution Architect - Toronto ON

Vivid Soft Global Inc•Toronto, Ontario
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/17/2026•Expires 11/16/2026
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Job Description

Job Title: AI Solution Architect/ AI Lead Work Arrangement: Hybrid - 3 Days Onsite Mandatory Description We are seeking an experienced AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives. This role requires a strategic leader who can architect AI solutions, mentor teams, and translate complex technical concepts into business value. The ideal candidate will have proven experience in AI/ML engineering, full-stack development, and cross-functional project leadership. Key Responsibilities:Technical Leadership • Lead R&D efforts in AI/ML applications for financial services, including document intelligence and automated decisioning systems • Architect end-to-end AI solutions from model design to scalable deployment using modern frameworks • Drive technical innovation through experimentation with cutting-edge methods including RAG, multi-agent systems, and transformer architectures • Establish and maintain deployment pipelines for AI model implementation and monitoring • Lead complex AI projects from conception to production, including solution architecture and system design • Coordinate cross-functional teams including ML engineers, backend developers, data scientists, and business stakeholders • Develop project roadmaps, load planning, and optimization strategies for AI implementations • Ensure smooth integration from prototyping to production environments • Mentor junior engineers and foster a culture of applied innovation and technical excellence • Guide team members in understanding AI/ML concepts and their business applications • Provide technical leadership in algorithm selection, model evaluation, and best practices • Support professional development through code reviews, technical writing, and knowledge sharing #J-18808-Ljbffr

Required Skills

AIMachine LearningFull-stack developmentRAGMulti-agent systemsTransformer architecturesDeployment pipelinesSystem designAlgorithm selectionModel evaluation

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