2 days ago
Base Salary
$85k - $95k/yr
Responsibilities
- Lead client engagements from discovery through production deployment.
- Design, build, and scale GenAI and agentic AI solutions for insurance use cases.
- Translate underwriting, claims, pricing, distribution, and servicing challenges into production-ready AI products.
- Design and integrate enterprise applications, APIs, data platforms, and workflow solutions.
- Apply LLM application design, prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.
- Rapidly prototype and iterate from concepts to working demonstrations within days.
- Collaborate directly with executives, business SMEs, and technical teams.
- Develop reusable frameworks, accelerators, and best practices across engagements.
- Identify AI opportunities that improve loss ratios, underwriting efficiency, claims productivity, customer retention, and agent effectiveness.
Requirements
- 5+ years of experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development, preferably in client-facing roles.
- Hands-on experience building GenAI and agentic AI solutions with Google Cloud technologies.
- Strong understanding of LLM application design, prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.
- Experience designing and integrating enterprise applications, APIs, data platforms, and workflow solutions.
- Strong business consulting and communication skills for interacting with executives, business SMEs, and technical teams.
- Ability to operate in ambiguous environments with a bias toward action, experimentation, and outcome delivery.
- Strong understanding of Property & Casualty, Life, Reinsurance, or Specialty Insurance operations.
- Experience supporting insurance functions such as underwriting, claims, pricing, actuarial, policy administration, customer servicing, distribution, or broker operations.
- Familiarity with insurance data models, regulatory considerations, document-heavy workflows, and operational processes.
- Preferred Google Cloud Professional certification in Generative AI, Machine Learning Engineer, Cloud Architect, or Data Engineer.
- Preferred experience with insurance platforms such as Guidewire, Duck Creek, Majesco, Sapiens, or similar ecosystems.
- Preferred exposure to regulated-industry governance, model risk management, auditability, explainability, and AI compliance requirements.
- Preferred experience developing reusable frameworks, accelerators, and enterprise-scale AI delivery methodologies.
Benefits
- Hartford, Connecticut location with 3 days per week in the office.
- Comprehensive benefits package for regular full-time employees, including paid time off, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
Tech Stack
Google BigQueryGoogle Cloud
Categories
Forward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.