Lead AI Engineer

About Chubb

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 43,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation 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:

• Function/Department

  : Advanced Analytics

• Location

  : Bangalore, India

• Employment Type:

  Full-time

• Role Overview

  Lead AI Engineer

Responsibilities:

• To design & implement multiple AI frameworks for insurance business.
• Develop & evaluate various LLMs across different projects and creating self-learning model frameworks, incorporating user feedback.
• Research & implement state of the art modelling approaches for various AI projects
• Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
• Integrate with data / document sources using APIs and / or data pipelines.
• Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.
• Effectively communicate with key stakeholders in written, oral and presentation formats.

Skills and Qualifications:

• Should have proven experience in multiple AI use cases, encompassing the entire project lifecycle from design and development through implementation and deployment
• Designing a multi-agent AI framework for our projects
• Developing utilities to evaluate LLM responses across different projects
• Creating and implementing a self-learning model training framework that incorporates user feedback
• 9+ years experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
• Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
• Experience with designing scalable end-to-end Machine Learning/NLP systems.
• Experience on distributed, high throughput and low latency architecture.
• Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
• Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
• Familiarity with Continuous Integration tools such as Jenkins.
• Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.