Description
This is an opportunity to work at the intersection of cutting-edge AI technology and practical business application, directly enabling how insurers leverage artificial intelligence in their operations.
As a Business Configuration Analyst, you will be hands-on with AI and platform configuration, working within FAST and cloud-based AI tools like AWS Bedrock, Azure OpenAI, and similar enterprise AI systems. You'll serve as both a technical implementer and a customer advocate, translating business needs into configured solutions while gathering insights that shape our AI product evolution.
Why Join Us?
Join an innovative team working with cutting-edge AI technology in a rapidly growing space. You'll gain deep expertise in enterprise AI platforms while working alongside experienced product managers, engineers, and domain experts who value practical problem-solving and customer impact. This role offers the opportunity to shape how the insurance industry adopts and benefits from AI technology.
Responsibilities
Key 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.
Qualifications
- 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
#LI-MB1
#LI-Hybrid
hackajob is partnering with Verisk Analytics to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
