Location: Hartford, CTRole OverviewWe 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 responsibilitiesLead 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/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 FDE teams, with 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.
Must Have8-12+ years of overall experience, with meaningful experience in Insurance / 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/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 move comfortably between an insurance business conversation and a solution-design conversation.
PreferredExperience with Agentic AI, GenAI/RAG, decision-support solutions, intelligent workflows or AI-enabled workbenches.
Exposure to cloud/data/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 PoC into business validation or production adoption.
Insurance consulting, carrier, InsurTech, AI product or insurance technology experience.'
The base compensation range for this role in the posted location is: 135,000 - 145,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
