GBLI | Global Indemnity

Customer Support

• Receiving and maintaining a consistent high call volume
• Front line support for billing, claims, and underwriting
• Assisting in providing information to insureds, lienholders and agents
• Assessing the complexity of each call for possible elevation or re-routing
• Accessing and researching information from various databases
• Accurately following standard screens, procedures, and scripts to perform tasks
• Learning company products and services as well as general insurance terminology.

Customer Service Representative

General

• Review, price, and manage renewal business (multi line with an emphasis on general liability and property) in accordance with company guidelines
• Select, price, quote, and decline new business in accordance with company underwriting guidelines and experienced, underwriting judgment
• Manage assigned territory that supports the growth and profitability objectives established by the business unit.
• Create strategic agency management plans that encompasses production and loss ratio as well as travel and marketing plans
• Respond to endorsement requests from existing accounts
• Provide 24-hour response time on new business submissions and same day turn-around on phone calls and emails,
• Work collaboratively with other Underwriters in the Unit to maintain 24-hour response time on new submissions.
• 10-25% travel to assigned agents
• Develop and maintain collaborative business relationships with appointed agents to foster the generation of profitable business
• Accountability for the production and loss ratio performance of assigned agents
• Educate agents on Penn-America Group products and underwriting systems

Production Underwriter – E & S Insurance

AI Engineer

• Design and build AI-powered applications and integrations across a variety of use cases
• Lead implementation of small- to medium-scale AI solutions, with contribution to larger enterprise initiatives
• Translate business requirements into scalable, supportable technical architectures
• Design and implement data pipelines for AI/ML use cases (ingestion, transformation, and delivery)
• Prepare and manage datasets for AI consumption, including cleansing, normalization, and feature engineering
• Ensure data quality, lineage, and readiness for model training and inference
• Apply best practices for handling sensitive data, including PII and regulated data
• Evaluate and apply appropriate AI/ML (regression models, NLP, LLMs, Multi-modal models, embedding models, etc.) approaches based on use case.
• Design and implement retrieval systems, including Retrieval-Augmented Generation (RAG)
• Apply agentic AI patterns and architectures to enable multi-step reasoning and orchestration
• Support training, fine-tuning, and optimization of models where applicable
• Implement techniques such as model distillation, quantization, and performance tuning
• Balance cost, performance, and accuracy in model selection and deployment
• Build and integrate AI capabilities into enterprise systems, APIs, and workflows
• Design scalable, secure architectures for AI services and applications
• Ensure solutions are production-ready, maintainable, and aligned to enterprise standards
• Engage with business stakeholders to gather and refine requirements
• Clearly articulate technical concepts, trade-offs, and solution approaches
• Validate requirements and translate them into actionable technical plans
• Act as a bridge between business and engineering teams

Project Manager

• Managing and delivering multiple concurrent IT projects from initiation through completion, ensuring alignment with business objectives, timelines, and budgets
• Developing comprehensive project plans, including scope, timelines, resource allocation, and risk management, using standard project management and Agile methodologies
• Leading high performing project teams that are aligned with the project goals and objectives and that understand how the project relates to corporate strategic goals
• Facilitating communication across departments and resolving roadblocks, ensuring everyone works toward common goals.
• Providing strategic, big picture thinking, and thought leadership on projects to materially influence outcomes
• Providing regular project updates and status reports to executive stakeholders, communicating risks, issues, and progress effectively
• Proactively identifying and mitigating risks or issues that may impact project timelines or quality
• Managing vendor relationships and ensuring deliverables meet contractual obligations and quality standards and participating in the development of contracts/SOWs
• Ensuring compliance with the organization’s IT governance, SDLC System Development Life Cycle, and change management policies throughout the project lifecycle
• Tracking and managing project budgets, ensuring financial control and adherence to project objectives
• Contributing to continuous improvement initiatives within the IT project management function
• Building and maintaining relationships with key project stakeholders and acts as a trusted business advisor

Customer Service Representative

Production Underwriter – E & S Insurance

AI Engineer

Senior Project Manager