AI Automation Engineer - H&L

Aspire Software is looking for a AI Automation Engineer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business. This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations. The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement. What you will do Design and deploy AI agents Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams Redesign business workflows Identify high value automation opportunities with functional leaders and operators Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations Help teams redesign work around a clear human and agent…