
AI Engineer
2 weeks ago
Position Objective:
The AI Engineer will design, develop, and deploy artificial intelligence and machine learning solutions to automate critical insurance processes including claims processing, underwriting, risk assessment, fraud detection, and customer service operations. This role combines deep technical expertise with insurance domain knowledge to deliver scalable automation solutions that improve efficiency, accuracy, and customer experience.
Roles and Responsibilities:
- AI/ML Development
- Design and implement machine learning models for insurance-specific use cases including predictive risk modeling, automated claims assessment, and fraud detection
- Develop natural language processing solutions for document analysis, policy interpretation, and customer inquiry automation
- Build computer vision systems for automated damage assessment, medical record analysis, and document processing
Create recommendation engines for personalized insurance products and pricing optimization
Automation Solutions
- Architect end-to-end automation workflows that integrate AI models with existing insurance systems and processes
- Develop robotic process automation (RPA) solutions enhanced with AI capabilities for claims processing, policy administration, and regulatory compliance
- Build intelligent chatbots and virtual assistants for customer service and agent support
Implement automated underwriting systems that combine rule-based logic with machine learning insights
Technical Implementation
- Deploy AI models in production environments with proper monitoring, scaling, and maintenance protocols
- Integrate AI solutions with core insurance platforms, databases, and third-party APIs
- Ensure data quality, model performance, and system reliability through comprehensive testing and validation
Collaborate with DevOps teams to establish CI/CD pipelines for ML model deployment
Data Management & Analytics
- Work with large datasets including policy data, claims history, customer interactions, and external data sources
- Implement data preprocessing pipelines and feature engineering for model training
- Develop data governance practices ensuring compliance with insurance regulations and privacy requirements
- Create analytics dashboards and reporting tools to track automation performance and business impact
Minimum Job Requirements:
- Education
- A Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
- Experience
- 5+ years of experience in Data Engineering or a similar role
- Advanced SQL skills; ability to write complex queries and optimize performance. Familiarity with MsSQL/OracleDB and ability to perform basic data validation and queries.
- Strong programming experience in Python or Java is a plus
- Knowledge of ETL and experience building data pipelines is a plus
- Strong understanding of SDLC (Software Development Life Cycle) and Agile/Scrum methodologies
- Familiarity with MongoDB is a plus.
- Special/Skills
- Knowledge in Insurance business is a plus
- Excellent analytical thinking, problem-solving, and documentation skills.
- Familiarity with containerization and CI/CD pipelines
- Strong communication skills to effectively work with both technical and non-technical stakeholders.
- Ability to manage multiple priorities in a fast-paced environment.
- Attention to detail, commitment to quality, and a proactive attitude towards continuous improvement.
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