Insurance AI Solution Lead

Capgemini; Hartford (CT); Sur place; USD 80 000 - 124 000; Plein temps

Résumé du poste

Tundra Technical Solutions is seeking an Insurance AI Solution Lead to bridge business, domain and technology, translating insurance problems into AI-enabled products and guiding them from discovery to implementation.

You will identify high-value AI use cases across underwriting, claims, pricing and servicing, own them end-to-end, and collaborate with insurers, AI engineers, data scientists, and architects to ensure solutions deliver real business value.

Qualifications

• 8–12+ years of experience in Insurance/Financial Services.
• Proven experience shaping AI, analytics, data, or digital products/use cases.
• Ability to translate business requirements into solution capabilities and work with delivery teams.
• Working knowledge of GenAI and modern AI solution patterns (not a hands-on developer).
• Strong client-facing communication, workshop facilitation and stakeholder management.

Responsabilités

• 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/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.

Connaissances

AI product ownership

Insurance domain knowledge

Client-facing leadership

Translate business requirements

GenAI knowledge

Solution design

Description du poste

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/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 Have:

• 8-12+ 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.

Preferred:

• Experience 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 pay range that the employer in good faith reasonably expects to pay for this position is $57.79/hour - $90.29/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.