AI Engineering Intern

As an AI Engineer Intern youll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&C insurance. This internship provides hands-on exposure to threecore disciplines: applied AI/ML production AI/LLM systems engineering and agentic AI systems. Youll contribute to real projects across the AI product lifecycle from model experimentation to production support while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubbs AI-driven transformation.

We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g. GitHub Copilot Cursor Claude Code) and agentic development environments to accelerate your workflow debug problems and explore solutions.

Key Responsibilities

Applied AI/ML

• Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments
• Support experimentation with LLM techniques including prompt engineering fine-tuning workflows and evaluation methods
• Help curate and prepare datasets for model training and evaluation
• Write and maintain Python scripts for data processing model inference and pipeline automation

Production AI Systems

• Contribute to building and testing AI service components including APIs inference pipelines and integration layers
• Assist with prompt management versioning and testing workflows
• Support documentation and testing of AI system integrations
• Learn production engineering practices including containerization (Docker) version control and CI/CD workflows

Agentic AI Systems

• Explore agentic AI frameworks (e.g. LangChain CrewAI AutoGen) through guided prototyping projects
• Assist in testing agent behaviors tool integrations and multi-step workflows
• Support evaluation and observability efforts including prompt tracing and performance logging
• Document findings and contribute to internal knowledge sharing.

General Engineering Practices

• Write clean well-documented code following team standards and guidelines
• Participate in code reviews (as reviewer and reviewee) to develop engineering judgment
• Communicate progress blockers and learnings clearly to mentor and team
• Complete a capstone project demonstrating skills developed during the internship

• Currently pursuing a Bachelors or Masters degree in Computer Science Data Science Machine Learning or related technical field
• Proficiency in Python programming (coursework personal projects or prior internship experience)
• Foundational understanding of machine learning concepts (supervised/unsupervised learning neural networks model evaluation)
• Familiarity with version control systems (Git)
• Comfortable using AI-powered coding assistants (e.g. GitHub Copilot Cursor Claude) as part of your development workflow
• Strong problem-solving skills and attention to detail
• Intellectual curiosity and eagerness to learn in a fast-paced environment

Preferred

• Exposure to ML frameworks and libraries (PyTorch TensorFlow Hugging Face Transformers scikit-learn)

The pay range for the role is $20/hr. - $24/hr. The specific offer will depend on an applicants skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.