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Job Description & How to Apply Below
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:
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About Chubb India
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.
Position Details:
Job Title :
Lead AI Engineer
Function/Department :
Technology
Location :
Hyderabad/Bengaluru – Hybrid
Employment Type
:
Full-time
Job Summary:
The AI Engineer (P3) designs, builds, and deploys scalable, production-grade software solutions using advanced AI tools and modern engineering practices. This role accelerates software delivery, ensures enterprise-level security and reliability, and fosters engineering excellence through enablement and knowledge sharing.
Key Responsibilities
Software Engineering & Delivery
Design, develop, and deploy AI-native software solutions, ensuring scalability, security, and reliability.
Deliver features end-to-end within 1-week sprint cycles as part of high-performing micro squads.
Apply Dev Ops and SDLC (Software Development Life Cycle) best practices for continuous integration and deployment.
AI-Driven Development
Leverage AI coding assistants (e.g., Git Hub Copilot, Cursor, Claude Code) as a core part of the daily workflow.
Craft effective prompts, validate AI-generated code, and apply critical thinking to AI limitations and human-in-the-loop processes.
Stay updated on advanced AI engineering concepts (e.g., agents, multi-component pipelines (MCPs), Claude Skills).
Enablement & Upliftment
Participate in AI enablement initiatives, including workshops, training sessions, and knowledge-sharing forums.
Mentor and support peers to elevate AI maturity across the engineering organization.
Share reusable enablement materials and best practices.
Responsible AI & Compliance
Promote responsible AI practices, including safety, ethics, bias mitigation, explainability, and governance.
Ensure compliance with enterprise security and regulatory requirements.
Continuous Improvement
Drive metrics-driven development and continuous improvement.
Collaborate with cross-functional teams to influence engineering practices and tooling decisions
Bachelor's degree in computer science, Engineering, or related field, or equivalent experience.
Minimum 3 years of professional software engineering experience.
Hands-on experience with AI coding tools (e.g., Git Hub Copilot, Cursor, Claude Code, ChatGPT/Claude).
Proven track record of delivering production-ready systems, including deployment, monitoring, and optimization.
Experience with agile methodologies and cloud platforms (AWS, Azure, or GCP).
Full-stack engineering capability.
Technical Proof Points (at least one required):
Recent AI tool work in a public or private Git Hub repository.
Technical blog post about AI-assisted development.
Portfolio demonstrating AI-augmented engineering projects.
Contributions to open-source projects.
Preferred Qualifications
Cloud certifications (AWS, Azure, or GCP).
Experience in enablement or training programs.
Active technical blog or speaking engagements.
Experience with design patterns and…
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