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Chubb is a world leader in insurance. With operations in 54 countries and territories, 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 defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.
About Chubb India
At Chubb India, we are on an exciting digital transformation journey, driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb, where we believe in fostering an environment where everyone can thrive, innovate, and grow.
With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Position Details
Role Overview
A Principal Engineer with 15+ years of experience in Java or .NET, emphasizing an AI-first approach, leads the architecture, development, and delivery of scalable, intelligent enterprise systems.
This senior technical leadership role focuses on designing AI-integrated software solutions using Java or .NET stacks. Professionals guide cross-functional teams, mentor engineers, and drive innovation by embedding AI/ML capabilities like generative AI, machine learning models, and intelligent automation into core platforms. Expect hands-on coding alongside strategic decision-making for high-impact projects in cloud-native environments.
Key Responsibilities
Collaborate with product and engineering leaders to align AI-first solutions with business goals, while adopting tools like Azure Cognitive Services or cloud ML frameworks.
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