Business Configuration Analyst implementing AI-powered solutions across insurance platforms. Collaborating with engineers and customers while configuring and optimizing AI technologies.
Responsibilities
FAST Platform Configuration: Configure FAST's unique tool sets to implement AI-powered insurance components including policy administration, new business processing, and distribution management workflows. Leverage FAST's SOA component library to solve complex business problems with AI enhancements.
AI Solution Configuration: Independently configure AI solutions within FAST and cloud-based AI platforms (AWS Bedrock or similar), requiring minimal supervision and demonstrating strong technical problem-solving skills.
Technical Implementation: Design, test, and troubleshoot AI configurations including prompt engineering, model selection, integration parameters, and performance optimization. Develop and maintain configuration documentation and best practices.
Customer Engagement: Serve as a technical point of contact for customers implementing AI features. Gather feedback, monitor usage patterns, and translate customer needs into configuration improvements and product recommendations.
Platform Expertise: Stay current with AI platform capabilities, emerging tools, and industry best practices. Evaluate new features and configuration options that could benefit our customers.
Data Analysis & Optimization: Monitor AI solution performance and customer engagement metrics. Analyze usage patterns, identify optimization opportunities, and recommend enhancements based on data-driven insights.
Cross-functional Collaboration: Work closely with Product Owners, engineers, and customer teams to ensure alignment on AI implementations. Participate in agile ceremonies and contribute to product backlog refinement.
Customer Enablement: Present AI capabilities to customers, demonstrate configuration options, and explain technical concepts in accessible business terms. Support demos and implementation conversations as needed.
Requirements
Bachelor's degree in Computer Science, Data Science, or related field
2-3 years of relevant experience
Experience with AI technologies, machine learning, or advanced analytics platforms strongly preferred
Experience configuring and implementing software solutions independently
Experience with cloud-based AI platforms (AWS Bedrock, Azure OpenAI, or similar) strongly preferred
Advanced SQL proficiency and experience with software troubleshooting
Strong analytical and problem-solving skills with ability to explain technical concepts in business terms
Self-motivated with excellent communication skills and customer focus
Knowledge of agile methodologies (JIRA, Confluence) and insurance industry a plus
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