🛠 Tech Stack

💼 About This Role

You'll lead end-to-end architecture of enterprise-grade AI and generative AI solutions, bridging business strategy and advanced technologies. You'll partner with executives to identify high-value opportunities and define reference architectures. This role offers the chance to work on complex, high-impact digital transformation projects with experienced multidisciplinary teams.

🎯 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 AI adoption
• Evaluate and select AI platforms, foundation models, and tools

📋 Requirements

• 8+ years in solution architecture, including 4+ years delivering AI/ML solutions
• Strong understanding of machine learning, generative AI, and LLM architectures
• Proven experience architecting AI solutions on AWS SageMaker and Bedrock
• Deep knowledge of cloud architecture, APIs, microservices, and event-driven systems

✨ Nice to Have

• Experience with LLM platforms, RAG architectures, and AI agent systems
• Familiarity with MLOps, model monitoring, and AI lifecycle management
• Consulting or client-facing solution architecture experience

🎁 Benefits & Perks

• 🏖️ 4 weeks vacation starting from day one
• ⏰ Flexible working hours
• 📚 Professional Development Allowance for training and equipment
• 💰 RRSP with employer contribution up to 3% of gross salary
• 🏥 Modular group insurance plan

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview· 60 min