Principal Engineer

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: http://www.chubb.com/

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics.

With a team of over 2500 talented professionals, we foster a startup 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.

We are looking for a Principal Engineer who is a force multiplier who shapes technical direction, eliminates ambiguity, and raises the ceiling of what teams believe is possible.

You are deeply technical, opinionated, and you default to building with AI.

You have integrated LLMs, built RAG pipelines, or designed agentic systems — not as a side project, but as production-grade work.

You will set the architectural north star for our.NET and Azure platforms while driving the AI engineering standard across the engineering organization.

Embed AI natively into system design — LLM-powered features, intelligent pipelines, semantic layers, and AI-augmented developer tooling are part of your design vocabulary.

Evaluate and adopt AI/ML tools, frameworks, and services for enterprise use — with genuine hands-on depth, not vendor briefings.

Define engineering standards: CI/CD, observability, testing, IaC, and AI model lifecycle management.

Own the technical strategy and architecture for large-scale, cloud-native systems on Azure (.Net and/or Java).

Be the last line of technical defence: complex design challenges, cross-system dependencies, and high-stakes architectural decisions land with you.

Mentor senior engineers and future principals; invest seriously in technical talent development.

Partner with senior business and technology stakeholders to translate strategic intent into executable architecture.

Drive performance, cost efficiency, security, and compliance in Azure-based deployments.

Mastery of Java Stack or.NET Stack, Entity Framework, async programming, and advanced system design.

Deep hands-on Azure experience: App Services, Functions, Service Bus, Event Hubs, Azure SQL, Cosmos DB, Key Vault, API Management.

You have built production systems that integrate LLMs, semantic search, or agentic workflows — this is mandatory, not preferred.

Strong understanding of microservices, distributed systems, containerization (Docker, Kubernetes), and cloud-native patterns.

with Azure DevOps, GitHub Actions, IaC with ARM/Bicep/Terraform.

Ability to engage C-suite and senior business stakeholders with clarity and conviction.

Prior experience in insurance, fintech, or banking is advantageous.