🛠 Tech Stack

💼 About This Role

You'll lead the architecture of enterprise-grade AI and generative AI solutions for a digital transformation leader. You'll bridge business vision with technical design to deliver scalable, secure, and compliant AI systems. AWS Bedrock and SageMaker will be key platforms.

🎯 What You'll Do

• Lead end-to-end architecture of AI and generative AI solutions
• Design cloud-native AI architectures on AWS Bedrock and SageMaker
• Define reference architectures and best practices for enterprise AI adoption
• Collaborate with business stakeholders to identify high-value AI opportunities

📋 Requirements

• Bachelor's or Master's in computer science, engineering, or related field
• 8+ years in solution architecture or senior technical roles
• 4+ years delivering AI/ML solutions
• Experience designing AI solutions on AWS (SageMaker, Bedrock)

✨ Nice to Have

• Experience with LLM platforms, RAG architectures, and AI agent systems
• Knowledge of MLOps, model monitoring, and AI lifecycle management
• Experience in regulated or enterprise-scale environments

🎁 Benefits & Perks

• 🌴 4 weeks vacation from day one
• 📚 Professional development allowance for training, equipment, and fitness
• 💰 Employer RRSP contribution up to 3% of gross salary
• 🏢 Flexible work schedule
• 🚍 Transit or parking reimbursement when required

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Interview· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min