AI Manager

As an AI Engineer at EY, you will have the opportunity to design, develop, and implement artificial intelligence solutions integrated with the Guidewire Insurance Suite platform. Your role will involve leveraging AI technologies to enhance insurance operations, automate processes, and deliver innovative solutions for underwriting, claims, and policy management. **Key Responsibilities** - Develop and implement AI models and machine learning algorithms that integrate with Guidewire InsuranceSuite components (PolicyCenter, ClaimCenter, BillingCenter) - Collaborate with business stakeholders to understand requirements and translate them into AI-powered solutions - Design and develop intelligent automation workflows using Guidewire's integration capabilities - Create predictive models for risk assessment, fraud detection, and claims processing - Implement natural language processing solutions for document analysis and customer communications - Develop and maintain data pipelines for model training and deployment - Ensure AI solutions comply with insurance industry regulations and standards - Participate in code reviews and contribute to technical documentation - Stay current with emerging AI technologies and insurance industry trends **Required Qualifications** - BE/MCA/BTech required - 3+ years of experience in AI/ML development with production-level implementation - Experience with Guidewire InsuranceSuite or similar insurance software platforms - Proficiency in programming languages such as Java, Python, and/or Gosu - Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) - Experience with NLP, computer vision, or other AI specializations - Familiarity with cloud-based AI services (AWS, Azure, GCP) - Understanding of data structures, algorithms, and software design patterns - Knowledge of insurance business processes (underwriting, claims, policy administration) **Preferred Qualifications** - Guidewire certification or demonstrated project experience - Insurance industry experience or domain knowledge - Experience with insurance data modelling and analytics - Knowledge of insurance regulatory requirements related to AI implementation - Experience with CI/CD pipelines and DevOps practices - Contributions to open-source AI projects **Additional Company Details** EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY utilizes data and technology to provide assurance and help clients grow, transform, and operate across various sectors including assurance, consulting, law, strategy, tax, and transactions. EY teams are committed to asking better questions to find new answers for the complex issues facing the world today.,