Principal AI/ML Engineer

Accountabilities: Lead the technical design and development of complex products and cloud platforms, ensuring that engineering solutions meet performance, scalability, reliability, and quality standards. Your responsibilities will include: Lead engineering project teams through the design, analysis, development, coding, testing, and integration of complex products and platforms. Design and build efficient, scalable, and robust cloud subsystems that support advanced software solutions. Review technical designs, test plans, and source code to ensure compliance with cloud architecture principles, development guidelines, and engineering standards. Provide actionable feedback to improve product quality, strengthen engineering practices, and mitigate technical risks. Represent the engineering team in technical forums, contributing expertise and guidance to cross-functional initiatives. Provide technical leadership, coaching, and mentorship to less-experienced engineers, supporting their professional development. Drive innovation by evaluating and integrating new technologies into software systems and engineering projects. Analyze complex science, engineering, business, application, system administration, and network-related challenges. Develop and implement effective solutions to complex software and infrastructure problems. Exercise independent judgment when selecting technical approaches and determining the best methods to achieve project objectives. Collaborate with technical and functional teams to align engineering solutions with product requirements and broader organizational goals. Requirements: You are an experienced software engineering professional with strong technical judgment, advanced programming capabilities, and a track record of delivering complex cloud-based solutions. You can communicate architectural decisions effectively, guide engineering teams, and translate challenging technical requirements into robust implementations. The ideal candidate will bring: A bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a closely related quantitative discipline. Typically 7–10 years of relevant professional experience in software engineering or a related technical field. Strong programming skills in one or more of the following languages: Python, Java, Golang, or JavaScript. Solid understanding of microservices architecture and the design of containerized applications in Kubernetes-managed environments. Experience designing and integrating software systems across multiple platforms within broader technical architectures. Strong knowledge of software testing methodologies, including test planning, test execution, debugging, and the development of testing scripts and tools. Ability to review technical designs and code, identify potential issues, and ensure adherence to engineering standards. Experience developing scalable, reliable, and efficient cloud-native applications and subsystems. Strong analytical and problem-solving skills, with the ability to address complex application, infrastructure, and system-related challenges. Excellent written and verbal communication skills, including the ability to present software architectures and technical proposals to senior management. Proven ability to work independently, exercise sound technical judgment, and contribute to cross-functional engineering initiatives. Leadership and mentoring capabilities, with the ability to guide technical teams and support the development of other engineers. Benefits: Annual base salary ranging from C$141,500 to C$283,500, depending on geographic location, experience, education, training, and skill level. Potential variable incentives in addition to base compensation. Comprehensive health and wellbeing benefits designed to support physical, financial, and emotional wellness. Benefits information for Canadian employees is available in the employee benefits brochure. Primarily remote working arrangement, allowing you to work from home. Personal and professional development programs, with opportunities to pursue career goals and expand expertise. Inclusive working environment that values diverse backgrounds, perspectives, and individual contributions. Accessibility accommodations available throughout the application and interview process. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1