Senior Solutions Engineer, AI

1 week ago


Toronto, Ontario, Canada Description Chubb Full time $120,000 - $180,000 per year
Description

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

Job Summary:

The Global AI Solutions Team is seeking a Senior Solutions Engineer - AI to join our fast-paced, high-energy team responsible for delivering cutting-edge solutions leveraging AI technologies. The focus of this role is to apply industry best practices and deliver high-quality software products in an agile environment. The ideal candidate is passionate about engineering optimal solutions for complex problems by leveraging the latest AI techniques and innovations. This position offers the opportunity to lead engineering teams, manage project execution, and contribute to the design and development of AI-based software systems.

Major Responsibilities:

  • Work with Business Analysts and other stakeholders to gather business requirements and evaluate solution approaches.

  • Define and document detailed solution designs aligned with Chubb and industry-standard architecture principles.

  • Break down development work into individual tasks, assign responsibilities, and monitor progress regularly.

  • Develop high-quality, secure, and maintainable code that meets business objectives and adheres to web development best practices.

  • Work with the business and technology team members to identify opportunities for improvement, and to validate, refine and prioritize user stories.

  • Manage project stakeholder expectations and issue communications on progress.

  • React to shifting priorities without compromising deadlines and momentum.

Qualifications
  • Bachelor's Degree in Computer Science, Computer Engineering or similar.

  • 7+ Years of software engineering experience with knowledge of frontend scripting using Angular and back-end scripting using either NodeJS, Python or Java. 

  • Experience with API design and integration: Proficiency in designing RESTful APIs and integrating third-party services, which is often critical in AI solution architectures. 

  • Experience with version control systems: Proficiency with Git or similar tools for source code management.

  • Experience building software on top of major container technology (Kubernetes, Docker etc.)

  • Familiarity with Continuous Integration tools and Cloud Deployment.

  • Experience leveraging AI capabilities through Large Language Model (LLM) APIs such as ChatGPT, Claude, or similar platforms.

  • Experience in working with NoSQL Databases like MongoDB, Azure Cosmos DB is preferred.

  • Experience in leveraging Azure Cloud Services like Azure Kubernetes Services, Azure Cosmos DB, etc. is a bonus. 

  • Strong problem-solving and analytical skills: Ability to troubleshoot complex technical issues and optimize system performance. 

  • Excellent communication and leadership skills: Experience mentoring junior engineers and collaborating across cross-functional teams. 

  • Experience with Agile methodologies: Familiarity with Scrum, Kanban, or other Agile frameworks to effectively manage iterative development.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job.  If you require an accommodation during the hiring process or upon hire, please inform Human Resources.  If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.



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