Role summary
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.
Responsibilities
- 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
- 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
- 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
- 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
Education
Bachelor's degree
Education · Experience · Type
Bachelor'sSalary not stated