Overview

This role is a member of the Gen Re Technology team responsible for the end-to-end delivery of AI-powered features and capabilities for in-house products, with a strong emphasis on UI/UX and measurable business value.

Responsibilities

• Own the end-to-end delivery of AI features involving UI/UX and capabilities for in-house products, with a strong focus on business value.
• Collaborate with business stakeholders to gather, analyze, and refine functional and technical requirements.
• Actively participate in Agile Scrum ceremonies, including sprint planning, backlog refinement, estimation, weekly standups, reviews, and retrospectives.
• Design, develop, test, and deliver UX proof-of-concepts (POCs) and prototypes to validate business value and technical feasibility.
• Ensure all deliverables meet established quality standards and are delivered on schedule.
• Design and implement AI solutions in compliance with applicable regulatory, security, privacy, and governance requirements.
• Identify, recommend, and implement performance, scalability, reliability, and cost optimization improvements for AI features and services.
• Identify opportunities to improve engineering practices, development methodologies, and AI delivery processes.
• Recommend emerging technologies, tools, frameworks, and approaches that can enhance product capabilities and development efficiency.
• Create and maintain detailed technical documentation, including architecture designs, feature specifications, deployment processes, and operational procedures.
• Conduct thorough testing, validation, and evaluation of AI models and features to ensure accuracy, reliability, and production readiness.
• Build telemetry with metrics, logs, and traces to monitor AI solutions in production, investigate issues, and implement corrective actions to maintain service quality and performance.
• Collaborate with cross-functional teams, including data, infrastructure, and security, to ensure successful solution delivery.
• Share knowledge, mentor team members, and contribute to the continuous growth and technical excellence of the AI team.
• Take ownership of assigned work items and be accountable for the quality, maintainability, security, and successful delivery of all assigned deliverables.
• Company will provide documentation for and facilitate knowledge transfer to the production support teams, including third-party service providers of Gen Re.
• Knowledge Transfer

Qualifications

• Proven experience designing, developing, and delivering AI-powered features, including UI/UX components, for production software products.
• Experience building and validating proof-of-concepts (POCs) and prototypes to test business value and technical feasibility.
• Strong requirements-gathering and analysis skills, with the ability to translate business needs into functional and technical specifications.
• Demonstrated ability to work effectively within an Agile Scrum methodology, including sprint planning, backlog refinement, estimation, weekly standups, reviews, and retrospectives.
• Understanding of regulatory, security, privacy, and governance requirements applicable to AI solutions.
• Experience testing, validating, and evaluating AI models and features for accuracy, reliability, and production readiness.
• Experience building telemetry (metrics, logs, and traces) and using observability tooling to monitor solutions in production and troubleshoot issues.
• Ability to identify and implement performance, scalability, reliability, and cost optimization improvements.
• Familiarity with emerging AI tools, frameworks, and approaches, and sound judgment on when they add value.
• Strong technical documentation skills, including architecture designs, feature specifications, deployment, and operational procedures.
• Excellent collaboration and communication skills, with experience partnering across data, infrastructure, and security teams, and a track record of mentoring and knowledge-sharing within a team.

Education

• Bachelor’s or master’s degree in computer science, software engineering, or a related field, or equivalent work experience.
• Relevant certifications in AI/ML engineering, cloud platforms, or software development are a plus.