AI Product Engineer

About the role

We are seeking an experienced AI Product Engineer to lead the development and delivery of AI-driven solutions across insurance business functions, including Underwriting and Claims. This role bridges business and technology, ensuring AI initiatives align with strategic goals and deliver measurable business value.

Responsibilities

• Lead the end-to-end lifecycle of AI products from ideation to deployment and continuous improvement.
• Partner with business stakeholders to identify, prioritize, and define AI use cases.
• Translate business requirements into product requirements, user stories, and acceptance criteria.
• Develop and manage AI product roadmaps and feature backlogs.
• Collaborate with engineering, data science, and delivery teams using Agile methodologies.
• Analyze business processes and identify AI and automation opportunities.
• Drive implementation, adoption, and change management for AI solutions.
• Define KPIs, monitor product performance, and continuously improve AI capabilities.
• Work with technical teams to ensure scalable integration with enterprise systems.
• Support enterprise AI platforms and align AI capabilities with business needs.

Requirements

• Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred).
• 5+ years of experience in Product Ownership, Product Management, or Business Analysis.
• Strong knowledge of insurance operations, particularly Underwriting and Claims.
• Experience delivering AI/ML or advanced analytics solutions in an enterprise environment.
• Strong business analysis, process mapping, and requirements gathering skills.
• Experience with Agile methodologies (Scrum/Kanban).
• Technical understanding of AI/ML concepts, APIs, and data pipelines.
• Experience with JIRA, Confluence, Visio, or Lucidchart.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with enterprise AI platforms or AI copilots.
• Knowledge of data governance, model risk management, and insurance regulatory requirements.
• Experience leading AI-enabled digital transformation initiatives.
• Familiarity with Generative AI and enterprise AI solution delivery.