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# Insurance AI Solution Lead

- **Company:** CYNET SYSTEMS INC.
- **Location:** East Hartford, CT, United States
- **Experience:** Expert
- **Salary:** $176,800.0 - $187,200.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Software Product Management, Google Cloud, Retrieval-Augmented Generation, Agentic-AI, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/fbc33ed2-462b-4f6a-a705-90df2b58c91b

## About the Role

* 8+ years of overall experience, with meaningful experience in Insurance or Financial Services.
 * Strong understanding of at least one major insurance domain such as underwriting, claims, pricing, distribution, policy administration, or portfolio management.
 * Experience owning or shaping AI, analytics, data, or digital products and use cases.
 * Demonstrated ability to translate business requirements into solution capabilities and work with technical teams through delivery.
 * Working knowledge of GenAI and modern AI solution patterns, without needing to be a hands-on developer.
 * Strong client-facing communication, workshop facilitation, and stakeholder-management skills.
 * Ability to transition seamlessly between an insurance business conversation and a solution-design conversation., * Experience with Agentic AI, GenAI/RAG, decision-support solutions, intelligent workflows, or AI-enabled workbenches.
 * Exposure to cloud, data, and AI ecosystems such as Azure, AWS, Google Cloud, or Databricks.
 * Experience working with multidisciplinary teams spanning domain, product, UX, data science, architecture, and engineering.
 * Experience taking AI use cases beyond proof-of-concept into business validation or production adoption.
 * Insurance consulting, carrier, InsurTech, AI product, or insurance technology experience.

## Description

* Lead the identification and development of high-value AI use cases across the insurance value chain, including underwriting, claims, pricing, distribution, and servicing.
 * Translate business problems into well-defined AI products and use cases, including user needs, workflows, capabilities, and measurable outcomes.
 * Own use cases from discovery and prioritization through solution shaping, prototyping, validation, and implementation.
 * Work closely with insurance SMEs, AI engineers, data scientists, and architects to ensure solutions are grounded in business needs and technically feasible.
 * Provide domain and product direction to delivery teams, maintaining a strong understanding of the end-to-end solution without requiring hands-on engineering expertise.
 * Lead client workshops, solution demonstrations, and executive discussions, articulating the business value and practical application of AI.