
This senior AI engineering role focuses on designing and operationalizing enterprise-grade AI solutions within a highly regulated environment. The position requires technical leadership to define reference architectures and oversee the end-to-end lifecycle of complex AI systems, including the implementation of generative AI patterns and automated MLOps pipelines. Key responsibilities involve building scalable production services, embedding governance and security controls directly into engineering workflows, and mentoring teams to elevate engineering best practices. The role offers the opportunity to work with advanced technologies like Azure and Databricks while bridging the gap between experimentation and secure, compliant production deployment. The position is based in Toronto or Dallas with an onsite requirement of three to four days per week, appealing to candidates seeking to lead critical AI initiatives in a high-impact, regulated industry.













