Manager - FWA AI Engineer
Job in
Jeddah, Saudi Arabia
Listed on 2026-10-18
Listing for:
Bupa Arabia for Cooperative Insurance Company
Full Time
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Purpose:
The FWA AI Engineer is responsible for designing, building, testing, and deploying AI solutions that support Fraud, Waste & Abuse (FWA) detection and investigation. The role translates approved business requirements and data science models into scalable production solutions, integrating AI capabilities into operational workflows while ensuring reliability, performance, and business value. Working closely with the FWA Lead, FWA Data Scientist, investigators, and business stakeholders, the role drives the successful implementation and continuous enhancement of FWA AI use cases.
Key Accountabilities:1- FWA Solution Design & Feasibility Assessment;
- Assess technical feasibility of approved FWA use cases.
- Evaluate data availability, technical requirements, and implementation complexity.
- Define solution approaches for AI-driven FWA detection.
- Develop technical requirements and implementation plans.
- Recommend optimal AI techniques and technologies for delivery.
- Build and optimize AI solutions supporting FWA detection and investigation activities.
- Translate 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.
- Ensure solutions are scalable, maintainable, and aligned with technical standards.
- Collaborate with the FWA Data Scientist to operationalize validated models.
- Production Deployment & Integration;
- Deploy AI solutions into operational environments.
- Integrate AI outputs with internal systems and workflows.
- Coordinate with Data Engineering and TIDES (IT) teams to enable production deployment.
- Support release planning and deployment activities.
- Ensure successful transition from development to production.
- Testing & Quality Assurance;
- Conduct technical testing of AI solutions.
- Support user acceptance testing with business stakeholders.
- Validate output accuracy, reliability, and performance.
- Identify and resolve implementation issues.
- Ensure solutions meet defined business and technical requirements.
- Solution Maintenance & Continuous Improvement;
- Support ongoing enhancement of deployed FWA AI solutions.
- Implement model improvements identified by the Data Science team.
- Address technical issues and optimize solution performance.
- Incorporate new fraud detection capabilities and business requirements.
- Maintain technical documentation and solution knowledge assets.
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