Software Engineer

Job Description

Domain: Insurance

Role Overview:
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 Scikitlearn
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 APIfirst 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 disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ 105000- $ 112000 /yearly.
 
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 any other benefits to eligible employees.
 
Note: No amount of pay is wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Capgemini is an Equal Opportunity Employer

Capgemini is an Equal Opportunity Employer committed to diversity, equity, and inclusion in the workplace. We promote fairness, accessibility, inclusion, and respect through our Partnership Accreditation in Indigenous Relations (PAIR) Committee, which supports meaningful engagement with Indigenous communities across Canada. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 

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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.