Capgemini
Overview
Join to apply for the
Full Stack AI Engineer
role at
Capgemini . 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. Key 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. Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Pay Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The base salary range for the tagged location is $105,000 - $112,000 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and other benefits where eligible. Equal Opportunity
Capgemini is an Equal Opportunity Employer committed to diversity, equity, and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. Notes
This is a general description of the duties, responsibilities, and qualifications required for this position. Capgemini may capture your image during the interview process for verification purposes. Applicants in the US must have valid work authorization without requiring visa sponsorship.
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Join to apply for the
Full Stack AI Engineer
role at
Capgemini . 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. Key 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. Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Pay Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The base salary range for the tagged location is $105,000 - $112,000 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and other benefits where eligible. Equal Opportunity
Capgemini is an Equal Opportunity Employer committed to diversity, equity, and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. Notes
This is a general description of the duties, responsibilities, and qualifications required for this position. Capgemini may capture your image during the interview process for verification purposes. Applicants in the US must have valid work authorization without requiring visa sponsorship.
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