RCM Application Support Specialist
On-siteRiyadh, Riyadh Region, Saudi Arabia
Riyadh, Riyadh Region, Saudi ArabiaOn-siteFull TimeHealthcare TechLarge
Full TimeLargeHealthcare Tech
Job Summary
Provide immediate response to customer inquiries and support current installed-based customers for the TrakCare Hospital Management System. Liaise with clients to understand work processes, escalate unresolved problems per policy, and conduct training, demonstrations, and workshops as required. Act as a Subject Matter Expert linking customers to the InterSystems Global Support organization while continuously improving response times through enhanced communication and analytical skills. Participate in on-site support if needed and join the on-call 24-hour roster service.
Required Qualifications
- BS or MS in Computer Science (or equivalent) or business as announced in the vacancy
- General aptitude for solving problems and using technology to improve processes
- Understanding and experience in product solutions support
- Understanding and experience with Hospital Information Systems
- Proven ability to think laterally and come up with innovative solutions for software product Support
- Experience working in software not limited to a Developer, Quality Engineer and/or Solutions Architect
- An ability to handle multiple tasks simultaneously and within tight time constraints
- Proven ability to work through problems with different customer groups achieving positive outcomes
- Understanding and experience with Hospital Information, Patient Administration (PAS), Billing, and Revenue cycle management Systems
- Understanding of the importance of Health Informatics standards, reporting requirements and legislative controls
- Demonstrated ability to learn, evaluate, adapt to, propose and implement AI-augmented workflows in order to continually enhance your own, and the team's, productivity
- Experience using AI-assisted tools (e.g. copilots, summarisation tools, or chatbots) to investigate, triage, or document complex support cases, with an ability to critically evaluate and verify AI-generated outputs
- Ability to construct effective prompts for LLM-based tools to (for example) extract structured information from clinical documentation, support logs, or knowledge bases
- Familiarity with how AI/ML features are embedded in clinical or administrative software — such as predictive scheduling, coding suggestions, or alert prioritisation — and the ability to support end users in understanding and troubleshooting these features
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