AVP, Applied AI

Chubb is a world leader in insurance. With operations in 54 countries, 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 distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. 

Key Objectives:

Chubb's Global Analytics Team is seeking an experienced and dynamic AVP, Applied AI to join our vibrant and fast-paced environment, dedicated to pioneering innovative AI solutions. This role encompasses both people and technical leadership responsibilities, as the ideal candidate will be integral in developing and overseeing the delivery of high-quality AI products.

In this leadership position, you will foster a collaborative culture, empowering team members to excel in their roles while encouraging creative problem-solving and innovative thinking. Your ability to mentor and inspire will be essential as you guide your team in navigating the complexities of AI applications.

To succeed in this role, you should be a resourceful problem solver with a strong sense of ownership and a commitment to excellence. A true team player, you’ll think holistically and approach challenges with a foundational mindset, seeking opportunities for simplification and improvement. You will prioritize iterative value delivery, adeptly managing and embracing the inherent uncertainties that accompany the fast-evolving landscape of AI research and application.
 

Major Responsibilities:

• Lead and mentor a diverse team of AI professionals, fostering an inclusive and high-performance culture.
• Drive the design, development, and deployment of AI & ML products, ensuring alignment with business objectives.
• Research & implement cutting-edge modeling techniques, including pre-training, fine-tuning, unsupervised
• learning methods, embeddings, representations, graph-based approaches, and reinforcement learning.
• Guarantee the delivery of high-quality code that aligns with business objectives, adheres to quality standards, and complies with secure web development practices.
• Manage project timelines and milestones, ensuring timely delivery of AI initiatives while maintaining quality and performance standards.
• Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
• Manage project stakeholder expectations and issue communications on progress.
• React to shifting priorities without compromising deadlines and momentum.

Must have:

• Master's or PhD in Computer Science or Computer Engineering.
• Over 10 years of experience in Machine Learning (ML), with significant expertise in writing and reviewing production code in Python.
• More than 2 years of experience in leading technical teams.
• Experience in one or more areas such as NLP, Deep Learning, Graph ML, and/or Reinforcement Learning.
• Proficient in ML frameworks and libraries (e.g., PyTorch) and knowledgeable about various ML techniques and their large-scale implementation in production environments.
• Experience developing software using major container technologies (e.g., Kubernetes, Docker) and familiarity with Continuous Integration tools.

Nice to have:

• Experience in designing data pipelines is a significant advantage.
• Familiarity with end-to-end application development using a full stack is a plus.
• Knowledge of property and casualty (P&C) insurance is a valuable asset.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job.  If you require an accommodation during the hiring process or upon hire, please inform Human Resources.  If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.