Insurance AI Solution Lead

Job Title: Insurance AI Solution Lead

Job Location: Hartford, CT

Job Type: Contract

Pay Range: $85.00hr - $90.00hr

Job Overview:

We are looking for an Insurance AI Solution Lead who combines strong insurance business knowledge with experience shaping and owning AI-enabled products and use cases. The role will bridge business, domain, and technology, translating real insurance problems into well-defined AI solutions and guiding them from discovery and prioritization through prototyping, validation, and implementation.

Key Responsibilities:

• 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.

Requirements:

• 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.

Preferred Qualifications:

• 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.

== ==

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities