Specialist - AI Engineering

This role is a member of the Gen Re Technology team responsible for the endtoend delivery of AIpowered features and capabilities for inhouse products with a strong emphasis on UIUX and measurable business value

The candidate will work closely with business stakeholders to gather analyze and refine functional and technical requirements and will actively participate in Agile Scrum ceremonies partnering with data infrastructure security and other crossfunctional teams to design build test and deliver AI solutions

The candidate must be qualityfocused and deliveryoriented with the ability to design and validate UX proofofconcepts and prototypes ensure compliance with regulatory security privacy and governance requirements and mentor team members while contributing to the continuous improvement of engineering practices and AI delivery processes

Specific responsibilities

Own the endtoend delivery of AI features involving UIUX and capabilities for inhouse 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 proofofconcepts 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 crossfunctional 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 deliverablesProven experience designing developing and delivering AIpowered features including UIUX components for production software products

Experience building and validating proofofconcepts POCs and prototypes to test business value and technical feasibility

Strong requirementsgathering 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 knowledgesharing within a team