About the Role: Manager FWA AI Engineer

Bupa Arabia is seeking a Manager FWA AI Engineer to join their team in Jeddah or Makkah. This full-time role is responsible for designing, building, testing, and deploying AI solutions that support Fraud, Waste & Abuse (FWA) detection and investigation. The position requires 5-10 years of relevant experience.

Role Purpose and Context

The FWA AI Engineer translates approved business requirements and data science models into scalable production solutions. This involves integrating AI capabilities into operational workflows while ensuring reliability, performance, and business value. The role collaborates closely with the FWA Lead, FWA Data Scientist, investigators, and business stakeholders to drive the successful implementation and continuous enhancement of FWA AI use cases.

Key Responsibilities

• Assess the technical feasibility of approved FWA use cases, evaluating data availability, technical requirements, and implementation complexity.
• Define solution approaches for AI-driven FWA detection, developing technical requirements and implementation plans.
• Recommend optimal AI techniques and technologies for delivery.
• Build and optimize AI solutions supporting FWA detection and investigation activities, translating models and analytical logic into scalable cloud-native solutions on GCP.
• Implement machine learning, anomaly detection, graph analytics, and document intelligence solutions.
• Develop APIs, scoring services, and integration components required for operational deployment, ensuring solutions are scalable, maintainable, and aligned with technical standards.
• Collaborate with the FWA Data Scientist to operationalize validated models.
• Deploy AI solutions into operational environments and integrate AI outputs with internal systems and workflows.
• Coordinate with Data Engineering and TIDES (IT) teams to enable production deployment and support release planning and deployment activities.
• Conduct technical testing of AI solutions and support user acceptance testing with business stakeholders.
• Validate output accuracy, reliability, and performance, identifying and resolving implementation issues.
• Support ongoing enhancement of deployed FWA AI solutions, implementing model improvements and addressing technical issues.
• Incorporate new fraud detection capabilities and business requirements, maintaining technical documentation and solution knowledge assets.

Experience and Qualifications

• A minimum of 5 years and a maximum of 10 years of relevant professional experience is required for this role.

Work Environment and Collaboration

This role operates within a collaborative environment, working closely with the FWA Lead, FWA Data Scientist, investigators, and various business stakeholders. The position requires coordination with Data Engineering and IT teams to ensure successful deployment and integration of AI solutions.

Application Information

This is a full-time position based in either Jeddah or Makkah. Salary details will be disclosed during the recruitment process.