Overview
Role: Web AI Engineer
Location: New York, NY (Hybrid)
Employment type: Contract
Experience: 10+ years of experience and strong Financial/Banking background required.
Job Description: The Web AI Engineer will be responsible for designing and implementing intelligent web-based solutions that enhance digital capabilities across insurance platforms. This role requires strong expertise in artificial intelligence, machine learning, and full stack web development. The engineer will contribute to automation, personalization, and predictive analytics for policy servicing, claims management, and customer engagement.
Responsibilities
Develop and deploy AI-powered web applications for insurance workflows including underwriting, claims processing, and customer servicing
Implement machine learning models for risk assessment, fraud detection, and customer behavior analysis
Integrate AI services with web platforms using APIs and microservices architecture
Build responsive and scalable frontend interfaces using modern frameworks
Design and maintain backend systems that support real-time data processing and model inference
Optimize performance, reliability, and scalability of AI-enabled web components
Ensure compliance with insurance regulatory standards and data privacy protocols
Collaborate with data scientists, architects, and developers to align AI solutions with business objectives
Required Skills
Proficiency in Python, JavaScript and frameworks such as React, Angular, or Vue
Experience with machine learning libraries including TensorFlow, PyTorch, or Scikit-learn
Strong understanding of RESTful APIs, cloud services, and containerization technologies
Familiarity with insurance data models and domain-specific use cases
Ability to implement AI algorithms for classification, regression, clustering, and recommendation systems
Exposure to NLP techniques for document processing and chatbot development
Experience with data pipelines, model deployment and monitoring tools
Knowledge of security and compliance standards relevant to insurance platforms
Preferred Qualifications
Background in AI applications for life, health, or general insurance products
Certification in machine learning, AI engineering, or cloud architecture
Experience with personalization engines and predictive analytics in insurance
Familiarity with headless CMS and API-first design principles
Work Environment
Agile and innovation-driven setting focused on intelligent insurance solutions
Opportunity to lead AI initiatives and contribute to digital transformation programs
Emphasis on technical excellence, scalability, and domain relevance
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