We are looking for a Staff-level Forward Deployed AI Engineer to design, build, and deliver AI-powered applications that create measurable business impact. This is a hands-on engineering role with solid design responsibility — you will spend most of your time writing code, integrating systems, and taking solutions to production, while also shaping practical, scalable designs that ensure what you build can operate reliably at enterprise scale. You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.

Build & Ship AI Applications (Primary Focus) Design, develop, and deploy AI-powered applications and workflows Write production-quality code across: AI orchestration layers and agents Own delivery end-to-end: build, test, deploy, monitor, and improve Design Practical, Scalable AI Systems AI orchestration and workflows Integrate AI into Real Enterprise Workflows Optimize systems for performance, resilience,



and cost efficiency Translate requirements into working software quickly (days/weeks, not months) Establish practical patterns based on real implementations Help evolve internal platforms through code and working solutions , not just design artifacts Build Within a Governed AI Environment Implement secure and reliable AI solutions in practice , including: Align implementations with enterprise security, privacy, and compliance requirements Microsoft ecosystem (Azure) AI Models: Claude and other enterprise-approved LLMs AI application engineering Proven ability to build and ship production systems at scale Can move fluidly between coding and design thinking AI / GenAI Development Hands-on experience building LLM-powered applications in production Integrating AI into production systems ~ Ability to debug, tune, and improve AI behavior in code Bias toward shipping and learning from production usage

📌 Remote AI Engineer (Toronto)
🏢 EQ Bank | Canada's Challenger Bank
📍 Toronto