Senior AI Solution Architect

📋 Description

• Lead end-to-end AI products and intelligent services lifecycle—from opportunity to deployment and
• Translate business/industrial challenges into scalable AI products and roadmaps.
• Define architectures, data strategies, governance, and security aligned with enterprise needs.
• Coordinate multi-disciplinary engineering to deliver AI solutions on budget and on schedule.
• Architect data acquisition, labeling, governance, and evaluation strategies.

🎯 Requirements

• Master's degree in CS/AI/ML/Robotics or related; PhD asset.
• Extensive production-grade AI experience using Python, PyTorch, CUDA, distributed training, and
• Expertise in Foundation Models, LLMs, VLMs, Computer Vision, Multimodal AI, Agentic AI, and
• Strong knowledge of transformers, optimization, distributed training, fine-tuning, and evaluation.
• Hands-on robotics/simulation experience with ROS/ROS2, NVIDIA Cosmos/Omniverse, Isaac Sim, Gazebo
• Edge AI deployment using TensorRT, ONNX Runtime, quantization, pruning, distillation

🎁 Benefits

• CAD $95,000–$145,000, depending on location/experience.
• Fully remote working opportunity within Canada.
• Opportunity to work on foundation models, multimodal intelligence, agentic AI, robotics, physical
• Exposure to emerging technologies and transforming AI research into enterprise solutions.
• Mentorship, leadership opportunities, and global collaboration across teams.
• Career growth within a global technology environment.