
201 - 500 employees
🤝 B2B
💸 Finance
B2B • Finance
GBLI | Global Indemnity is a publicly traded holding company that owns a diversified portfolio of property and casualty insurance-related businesses. It provides specialty insurance and reinsurance solutions through subsidiaries and managing general agencies (including Katalyx and Belmont Holdings), focusing on niche and underserved markets with disciplined underwriting, technology-enabled distribution, and both admitted and non-admitted coverage. The group emphasizes multi-channel distribution, agent relationships, automated product offerings, and fast claims handling, and holds AM Best “A” ratings for parts of its insurance operations.
🔥 13 hours ago
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201 - 500 employees
🤝 B2B
💸 Finance
B2B • Finance
GBLI | Global Indemnity is a publicly traded holding company that owns a diversified portfolio of property and casualty insurance-related businesses. It provides specialty insurance and reinsurance solutions through subsidiaries and managing general agencies (including Katalyx and Belmont Holdings), focusing on niche and underserved markets with disciplined underwriting, technology-enabled distribution, and both admitted and non-admitted coverage. The group emphasizes multi-channel distribution, agent relationships, automated product offerings, and fast claims handling, and holds AM Best “A” ratings for parts of its insurance operations.
• 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
• Bachelor’s degree in a related field and 5+ years experience in software engineering, data engineering, or AI/ML engineering - or equivalent combination of education and experience. • Experience with multi-paradigm databases (vector, graph, DBMS, document, etc.) • Hands-on experience developing AI/ML solutions in production environments • Proficiency in Python and common AI/ML frameworks and tools • Excellent verbal and written communication skills, with the ability to convey technical concepts clearly and effectively • Strong critical thinking and problem-solving skills • Ability to collaborate effectively with business stakeholders, technical teams, and cross-functional partners • Self-motivated with the ability to work independently and manage competing priorities • Strong experience building data pipelines and working with structured and unstructured data • Experience with cloud platforms (e.g., Azure, AWS, or GCP), including AI and data services, Azure is preferred. • Solid understanding of data security principles and handling of sensitive data • Understanding of responsible AI, data governance, and IT governance in a regulated environment • Demonstrated ability to work independently, manage projects, and make impactful technology recommendations.
• Generous paid time off (PTO) • Professional development opportunities (including a mentorship program) • Educational assistance program, which covers up to $5,250 in educational costs per year • Comprehensive health insurance plan (with vision and dental) • Paid Parental Leave • Life insurance • 401(k) retirement plan with up to 6% company match and immediate vesting • Healthcare and dependent care flexible spending accounts • Short-term and long-term disability • Company-sponsored social events • Various committees to get involved in, which include our Diversity, Awareness and Inclusion Committee, and Charitable Giving Committee
Apply Now🔥 13 hours ago
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