Chief AI Architect / Director of AI with 15+ years across ML, software engineering, data science, and globally distributed team leadership. I own end-to-end architecture for enterprise AI products — from high-throughput sensor/IoT ingestion and RL/MPC control through agentic LLM workflows, computer vision, and the user-facing product.
Selected impact:
- Designed and led a hybrid MPC + reinforcement-learning control system that cut industrial plant energy usage ~10%.
- Built and led a distributed AI/software/data team across Canada, the US, Singapore, Malaysia, and India, scaling from 5 to 25 while raising experimental rigor and delivery cadence.
- Standardized cloud, on-prem, and air-gapped Kubernetes delivery (Rancher Fleet + Hauler), cutting deployment time from 2 weeks to 3 days.
- Previously worked on an FDA-cleared prostate-cancer detection system in production at Paige AI, and delivered ML across merger-approval prediction, legal-document summarization, and warehouse optimization at AltaML.
Looking for: Chief AI Architect, Director/Head of AI, or hands-on principal-level roles. Open to full-time, fractional, or advisory. MSc Computing Science (University of Alberta); one pending US patent in RL.
Remote: Yes (full overlap with US time zones)
Willing to relocate: No (Canadian citizen)
Technologies: Reinforcement Learning, Computer Vision, LLM/agentic systems, RAG; Python, PyTorch; Kubernetes, MLflow, Airflow; AWS/GCP/Azure; cloud / on-prem / air-gapped deployment
Résumé/CV: https://drive.google.com/file/d/1PNtzdeIMH6IxRncSNgjCtbZ6WhT...
Email: connect.stuartjohnson@gmail.com
Chief AI Architect / Director of AI with 15+ years across ML, software engineering, data science, and globally distributed team leadership. I own end-to-end architecture for enterprise AI products — from high-throughput sensor/IoT ingestion and RL/MPC control through agentic LLM workflows, computer vision, and the user-facing product.
Selected impact:
- Designed and led a hybrid MPC + reinforcement-learning control system that cut industrial plant energy usage ~10%.
- Built and led a distributed AI/software/data team across Canada, the US, Singapore, Malaysia, and India, scaling from 5 to 25 while raising experimental rigor and delivery cadence.
- Standardized cloud, on-prem, and air-gapped Kubernetes delivery (Rancher Fleet + Hauler), cutting deployment time from 2 weeks to 3 days.
- Previously worked on an FDA-cleared prostate-cancer detection system in production at Paige AI, and delivered ML across merger-approval prediction, legal-document summarization, and warehouse optimization at AltaML.
Looking for: Chief AI Architect, Director/Head of AI, or hands-on principal-level roles. Open to full-time, fractional, or advisory. MSc Computing Science (University of Alberta); one pending US patent in RL.
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