Lead Developer - AI Platform Engineering

Skip to Content Sign In Lead Developer - AI Platform Engineering Req #23508 Canada Apply Share Job Description Posted Thursday, March 5, 2026 at 9:00 PM | Expires Wednesday, May 6, 2026 at 8:59 PM Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.    Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.   Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.    Effective November 1, 2025 this position is not open to residents of Quebec; applicants must reside in a province or territory of Canada other than Quebec to be considered. Any roles available in Quebec will be posted separately.   About the opportunity Dayforce is building a next-generation Agent Platform to power intelligent automation, AI-driven workflows, and tool-enabled execution across our product ecosystem. We are seeking a Lead Developer to drive the design, implementation, and technical direction of the foundational infrastructure enabling secure, scalable, and observable AI agent execution across Dayforce systems. This role partners closely with the Agent Platform Technical Lead and AI Platform Development Leader and serves as a senior technical driver within the team. The ideal candidate brings deep distributed systems expertise, strong architectural judgment, and experience leading complex engineering initiatives in production-scale environments. What you'll get to do Technical Leadership Lead the design and implementation of core Agent Platform components, including execution orchestration and tool invocation frameworks Drive architectural decisions impacting cross-product AI integration Establish and uphold reliability, observability, scalability, and performance standards Define best practices for secure agent execution and service-to-service communication Platform Engineering Build secure, scalable backend services enabling AI-driven workflows Design APIs and service contracts supporting extensible platform capabilities Implement authentication, authorization, and secure system design patterns Contribute to infrastructure design leveraging containerized environments (e.g., Kubernetes) Cross-Team Impact Collaborate with multiple engineering teams to enable adoption of Agent Platform capabilities Identify architectural risks and proactively drive mitigation strategies Mentor and guide engineers integrating with or extending the platform Raise engineering standards through code quality, design rigor, and documentation Skills and experience we value 8+ years of experience building and operating distributed systems in production environments Strong backend engineering expertise (TypeScript, C#, Go, Java, or similar) Experience integrating large language models (LLMs) into production systems Proven experience designing APIs, service contracts, and scalable microservices architectures Hands-on experience with containerized and cloud-native infrastructure (e.g., Kubernetes) Strong understanding of authentication, authorization, and secure system design Experience implementing production-grade observability (logging, metrics, tracing) Demonstrated ability to lead complex technical initiatives with high autonomy Experience working with globally distributed teams and leading through asynchronous communication. What would make you really stand out Background in workflow orchestration, event-driven architectures, or DAG-based systems Experience building internal developer platforms or reusable infrastructure services Familiarity with execution isolation, sandboxing, or worker-based architectures Experience influencing architectural standards across multiple eng ... (truncated, view full listing at source)