Emplia helps organizations simplify and operate complex workforce support through managed services, technology and human expertise and provide AI-enabled operational workforce support for complex HR and payroll environments. We combine AI-driven guidance with managed-services specialists to help organizations simplify workforce support, reduce repetitive workload and improve the way employee and manager requests are handled. Our approach brings technology, human expertise and service delivery together in one operating model. AI supports appropriate questions, guidance and triage, while experienced specialists remain responsible for transactions, exceptions, interpretation and technical issues. Emplia supports areas including HR and policy questions, time and attendance, payroll information and exception routing, request and ticket status, employee and contractor lifecycle processes, and manager guidance and approvals. Designed for distributed North American and European workforces, Emplia can also support multilingual service delivery across selected languages, geographies and service hours. Our focus is practical: faster responses, clearer ownership, more consistent service and less time spent by specialist teams on repetitive support. Headquartered in Montreal, Canada.
Hybrid · Montréal
Own the architecture, development, evaluation, and ongoing improvement of the Emplia Agent, including its retrieval, tool use, permissions, guardrails, multilingual behavior, and integrations with enterprise systems. Establish testing and observability practices, improve reliability and factuality, and lead the AI engineering workstream as the product advances from proof of concept toward MVP and pilot deployment.
Hybrid · Montréal
Own the architecture, development, evaluation, and ongoing improvement of the Emplia Agent’s AI capabilities, including retrieval, tool use, permissions, guardrails, multilingual behavior, and voice integration. Establish testing, observability, and engineering standards while leading the AI workstream from proof of concept toward a secure, reliable MVP and pilot deployment.
